Pricing of Sovereign Credit Risk: Evidence from Advanced Economies During the Financial Crisis

Pricing of Sovereign Credit Risk: Evidence from Advanced Economies During the Financial Crisis. By C. Emre Alper, Lorenzo Forni and Marc Gerard

IMF Working Paper WP/12/24
January, 2012

Summary: We investigate the pricing of sovereign credit risk over the period 2008-2010 for selected advanced economies by examining two widely-used indicators: sovereign credit default swap (CDS) and relative asset swap (RAS) spreads. Cointegration analysis suggests the existence of an imperfect market arbitrage relationship between the cash (RAS) and the derivatives (CDS) markets, with price discovery taking place in the latter. Likewise, panel regressions aimed at uncovering the fundamental drivers of the two indicators show that the CDS market, although less liquid, has provided a better signal for sovereign credit risk during the period of the recent financial crisis.

IV. CONCLUDING REMARKS

This paper addressed the linkages and determinants of two widely used indicators of sovereign risk: CDS and RAS spreads. It focused on advanced economies during the recent financial crisis and the sovereign market tensions that followed. It showed strong co-movements between both series, especially for those countries that have come under significant market pressure. At the same time, arbitrage distortions have remained pervasive in the biggest economies. This suggests that the liquidity of the derivatives market is of paramount importance for CDS spreads to fully reflect sovereign credit risk. For those economies where the evidence stands in favor of a cointegration relationship, deviations from arbitrage have been long lasting, though in line with results in the literature. Also, CDS spreads were found to anticipate changes in RAS, suggesting that the derivatives market has been leading in the process of pricing sovereign credit risk. Regarding the role of fundamentals, we showed that variables related to fiscal sustainability are able to explain only a limited share of the variation of CDS spreads. Spreads seem to respond more to financial variables (such as domestic banking sector capitalization, short-term liquidity conditions, large-scale long-term bond purchases by major central banks) or purely global variables (global growth, global risk aversion, dummies for the different stages of the crisis).

These results refer to a specific group of advanced countries over a short span of time. They suggest that movements in CDS and RAS spreads need to be interpreted with caution. First, while in theory they should be strictly connected, CDS and RAS spreads do not, generally, follow the pattern suggested by the no-arbitrage condition. Moreover, they are affected by several factors, with global and financial considerations playing a dominant role, while at the same time leaving room for a large unexplained component. In general, however, CDS spreads seem to have provided better signals than RAS regarding the market assessment of sovereign risk: over the period covered by the analysis, they have led the process of price discoveries in those countries under market pressure and have been more correlated than RAS to those fundamentals that are expected to affect sovereign risk.

PDF here: http://www.imf.org/external/pubs/ft/wp/2012/wp1224.pdf

The Challenge of Public Pension Reform in Advanced and Emerging Economies

The Challenge of Public Pension Reform in Advanced and Emerging Economies. Prepared by the Fiscal Affairs Department

IMF
December 28, 2011

Summary: This paper reviews past trends in public pension spending and provides projections for 27 advanced and 25 emerging economies over 2011–2050. In constructing these projections, the paper incorporates the impact of recent pension reforms and highlights the key assumptions underlying these projections and associated risks. The paper also presents reform options to address future pension spending pressures in the advanced and emerging economies. These reforms—mainly increasing retirement ages, reducing replacement rates, or increasing payroll taxes—are discussed in the context of their role in fiscal consolidation, and their implications for both equity and economic growth. In addition, the paper examines the challenge of emerging economies of expanding coverage in a fiscally sustainable manner.

Executive Summary

Public pension reform will be a key policy challenge in both advanced and emerging economies over coming decades. Many economies will need to achieve significant fiscal consolidation over the next two decades. Given high levels of taxation, particularly in advanced economies, fiscal consolidation will often need to focus on the expenditure side. As public pension spending comprises a significant share of total spending, and is projected to rise further, efforts to contain these increases will in most cases be a necessary part of fiscal consolidation packages. Pension reforms can also help avoid the need for even larger cuts in pro-growth spending, such as public investment, and help prevent the worsening of intergenerational equity caused by rising life expectancies (at a pace faster than expected) and longer periods of retirement. Finally, some pension reforms, such as increases in retirement ages, can raise potential growth. Thus, while the appropriate level of pension spending and the design of the pension system are ultimately matters of public preference, there are several potential benefits for countries that choose to undertake pension reform. Against this background, this paper provides: (i) an assessment of the main drivers underlying spending trends over recent decades; (ii) new projections for public pension spending in advanced and emerging economies over the next 20 to 40 years; (iii) an assessment of the sensitivity of the country projections to demographic and macroeconomic factors, and risks of reform reversal; and (iv) country-specific policy recommendations to respond to pension spending pressures.

Pension spending is projected to rise in advanced and emerging economies by an average of 1 and 2½ percentage points of GDP over the next two and four decades, respectively, and is subject to a number of risks. During 2010–2030, increases in spending in excess of 2 percentage points of GDP are projected in nine advanced and six emerging economies. There is considerable uncertainty with respect to these projections, but risks are on the upside for a number of countries. Under a scenario where life expectancy is higher than anticipated—life expectancy projections have in the past underestimated actual increases—pension spending would be over 1 percentage point of GDP higher than projected in 2030 in five economies.  Under a low labor productivity scenario, pension spending would be over ½ percentage point of GDP higher in three economies. Sizable risks are also associated with implementing enacted reforms as well as contingent fiscal risks if governments have to supplement private pensions should these fail to deliver adequate benefits.

The appropriate reform mix depends on country circumstances and preferences, although increasing retirement ages has many advantages. It is important that pension reforms do not undermine the ability of public pensions to alleviate poverty among the elderly.  Raising retirement ages avoids the need for further cuts in replacement rates on top of those already legislated, and in many countries the scope for raising contributions may be limited in light of high payroll tax burdens. Longer working lives also raise potential output over time. In many advanced economies there is room for more ambitious increases in statutory retirement ages in light of continued gains in life expectancy, but this should be accompanied by measures that protect the incomes of those who cannot continue to work. In emerging Europe, one possible strategy would be to equalize retirement ages of men and women. In other emerging economies, where pension coverage is low, expansion of non-contributory “social pensions” could be considered, combined with reforms that place pension systems on sound financial footing, including raising the statutory age of retirement. Where average pensions are high relative to average wages, efforts to increase statutory ages could be complemented by reductions in the generosity of pensions. Where taxes on labor income are relatively low, increasing revenues could be considered, and all countries should strive to improve the efficiency of payroll contribution collections.

PDF here: http://www.imf.org/external/np/pp/eng/2011/122811.pdf

Are Rating Agencies Powerful? An Investigation into the Impact and Accuracy of Sovereign Ratings

Are Rating Agencies Powerful? An Investigation into the Impact and Accuracy of Sovereign Ratings. By John Kiff, Sylwia Nowak, and Liliana Schumacher
IMF Working Paper WP/12/23
Jan 2012
http://www.imfbookstore.org/ProdDetails.asp?ID=WPIEA2012023

Abstract

We find that Credit Rating Agencies (CRA)’s opinions have an impact in the cost of funding of sovereign issuers and consequently ratings are a concern for financial stability. While ratings produced by the major CRAs perform reasonably well when it comes to rank ordering default risk among sovereigns, there is evidence of rating stability failure during the recent global financial crisis.  These failures suggest that ratings should incorporate the obligor’s resilience to stress scenarios. The empirical evidence also supports: (i) reform initiatives to reduce the impact of CRAs’ certification services; (ii) more stringent validation requirements for ratings if they are to be used in capital regulations; and (iii) more transparency with regard to the quantitative parameters used in the rating process.

Excerpts
I. INTRODUCTION

1. Recent rating activities by the Credit Rating Agencies (CRAs) have induced some to ask whether ratings represent accurate risk assessments and to question how influential they are. The contention that ratings represent accurate default risk metrics was brought into question by the sheer volume and intensity of the multiple downgrades to U.S. mortgage-related structured finance securities in the wake of the crisis. Voices have also been raised against the timing of recent downgrades of European sovereigns amidst criticism that these downgrades promoted uncertainty in financial markets, leading to “cliff effects” and as a consequence affect their ability to funding themselves. Rating agencies have also been accused of behaving oligopolistically.

2. These criticisms are not new. CRAs’ downgrading actions have been accused before of not being timely but instead procyclical. It was argued that “the Mexican crisis of 1994-95 brought out that credit rating agencies, like almost anybody else, were reacting to events rather than anticipating them” (Reisen, 2003). During the late 1990s Asian crisis, CRAs were also blamed of downgrading East Asian countries too late and more than the worsening in these countries’ economic fundamentals justified, exacerbating the cost of borrowing.

3. The goal of this paper is to assess these concerns. We first examine CRAs’ role and whether CRAs are influential or just lag the market once new information is available and priced into fixed income securities. This is an important point. If CRAs influence the market, their opinions are important from a financial stability perspective. If they do not and just reflect information available to the market, their actions are not relevant and there is no policy concern.  In this regard, we test three hypotheses regarding the services that CRAs provide to the market: information, certification and monitoring. We find evidence that CRAs’ opinions are influential and favor the information and certification role. We then attempt to determine what ratings actually measure and how accurate they are. We conclude with some policy recommendations based on these findings. This study is limited to sovereign ratings (of emerging markets and advanced economies) and covers the period January 2005-June 2010.

4. Our analysis of the interaction between the market and CRAs indicates that ratings have information value beyond the information already publicly available to the market.  Specifically, the following results were evident:

• An event study shows that negative credit warnings (i.e., “reviews,” “watches,” and “outlooks”) have a significant impact on CDS spreads. This evidence is also supported by a Granger-causality test that finds that negative credit warnings Granger-cause changes in CDS spreads. These findings are consistent with the view that rating agencies do provide additional information to the markets, in addition to what is publicly available and used by markets to price fixed income securities.

• Although upgrades and downgrades in general do not have a significant impact on CDS spreads, upgrades and downgrades in and out of investment grade categories are statistically significant. This supports the view that the certification services provided by rating agencies do matter and likely create a purely liquidity effect (e.g.  purchases and sales of assets forced by regulations or other formal mandates and not based on the additional information already in the market).

• We do not find evidence in favor of the most important testable implication of the monitoring services theory. The impact of downgrades preceded by an outlook review in the same direction is not statistically significant. 

• From an informational point of view, the market appears to discriminate more than rating agencies among different kinds of issuers—in particular at lower rating grades and during crisis periods. This finding may indicate that ratings need to incorporate more granularity and leads to the second question of what ratings measure and how accurate they are.

• A common element among ratings by the major CRAs is that they represent a rank ordering of credit risk. This ordering is based on qualitative and quantitative inputs such as default probabilities, expected losses, and downgrade risk. However, there is no oneto- one mapping between any of these quantitative measures of credit risk and credit ratings. There is also no disclosure of the quantitative parameters that characterize each rating grade. For this reason, validation tests undertaken by outsiders can only apply to the ability of ratings to differentiate potential defaulters and non defaulters, but not to estimating cardinal measures such as default probabilities.

• The point highlighted above implies that—in spite of playing a similar role to internal ratings in the Basel II internal ratings-based (IRB) approach—ratings produced by the CRAs are subject to lower validation standards than are the banks using the IRB approach. In the Basel II IRB approach, financial institutions use measures of default probabilities (PD), losses given default (LGD) and exposure at default (EAD) to produce their internal ratings and are subject to calibration tests.  Although validation is foremost the responsibility of banks, both bank risk managers and bank supervisors need to develop a thorough understanding of validation methods in evaluating whether banks’ rating systems comply with the operating standards set forth by Basel II.

• Ratings produced by the major CRAs perform reasonably well when it comes to rank ordering default risk among sovereigns, i.e. defaults tend to take place among the lowest rated issuers. Accuracy ratios (AR) indicate that agencies are more successful at sorting out potential defaulters among sovereign issuers (average ARs in the 80 to 90 percent range) than among corporate and structured finance issuers (average ARs in the 63 to 87 percent range), the latter ones having suffered a strong deterioration over the global financial crisis. For all classes of products though, the ARs indicate that sovereign rating accuracy deteriorates as the evaluation horizon increases.

• In general, long-term credit transition matrices show that higher ratings are more stable than lower ones, and tend to remain unchanged. But this was not the case during the global crisis period, when there has been a tendency to see heavier downgrade activity among higher-rated sovereigns than among lower-rated ones. There has been evidence of significant rating failure (defined here as three or more rating changes in one year) during the recent global financial crisis, although less than in the Asian crisis.

IV. SOME POLICY RECOMMENDATIONS

• Based on the evidence of the impact of the CRA’s certification services, the removal of the excessive reliance of regulations on ratings is warranted. This will not affect the information value of ratings—that appears to work mostly through outlook reviews—and will help lessen the additional liquidity impact due to the need to meet regulations, reducing potential cliff effects.

• To the extent that ratings continue to play a significant role in regulations, an issue arises as to whether CRAs should be more transparent about the quantitative measures they calibrate in the rating process (PDs, LGD, and stability assumptions), how these measures are mapped into ratings, and whether the final ratings can be used to infer the parameters used to obtain these measures. This is particularly relevant in the use of external ratings by banks employing the standardized approach in Basel II since internal ratings systems are subject to rigorous back testing.

• Moreover, recent heavy downgrade activity suggests that ratings should embed the notion that risk is a forward looking dimension conditional on the macroeconomic scenario. In this regard, ratings should be better tied to macroeconomic conditions, including their resilience to stress scenarios.

PDF here: http://www.imf.org/external/pubs/ft/wp/2012/wp1223.pdf

Oil-price shocks have had substantial and statistically significant effects during the last 25 years

Measuring Oil-Price Shocks Using Market-Based Information. By Tao Wu & Michele Cavallo
IMF Working Paper No. 12/19
January 01, 2012
http://www.imfbookstore.org/ProdDetails.asp?ID=WPIEA2012019

Summary

We study the effects of oil-price shocks on the U.S. economy combining narrative and quantitative approaches. After examining daily oil-related events since 1984, we classify them into various event types. We then develop measures of exogenous shocks that avoid endogeneity and predictability concerns. Estimation results indicate that oil-price shocks have had substantial and statistically significant effects during the last 25 years. In contrast, traditional VAR approaches imply much weaker and insignificant effects for the same period. This discrepancy stems from the inability of VARs to separate exogenous oil-supply shocks from endogenous oil-price fluctuations driven by changes in oil demand.

Excerpts:

I. INTRODUCTION

The relationship between oil-price shocks and the macroeconomy has attracted extensive scrutiny by economists over the past three decades. The literature, however, has not reached a consensus on how these shocks affect the economy, or by how much. A large number of studies have relied on vector autoregression (VAR) approaches to identify exogenous oilprice shocks and estimate their effects. Nevertheless, estimation results generally have not provided compelling support for the conventional-wisdom view that following a positive oilprice shock, real GDP declines and the overall price level increases. In addition, the estimated relationship is often unstable over time. This is why, after a careful examination of various approaches, Bernanke, Gertler, and Watson (1997) conclude that “finding a measure of oil price shocks that ‘works’ in a VAR context is not straightforward. It is also true that the estimated impacts of these measures on output and prices can be quite unstable over different samples.”

Traditional VAR-based measures of oil-price shocks exhibit two recurrent weaknesses: endogeneity and predictability. With regard to the first one, VAR approaches often cannot separate oil-price movements driven by exogenous shocks from those reflecting endogenous responses to other kinds of structural shocks. For instance, the oil price increases that occurred over the 2002–2008 period were viewed by many as the result of “an expanding world economy driven by gains in productivity” (The Wall Street Journal, August 11, 2006). The occurrence of such endogenous movements will undoubtedly lead to biased estimates of the effects of oil shocks.

On the other hand, part of the observed oil price changes might have been anticipated by private agents well in advance. Therefore, they can hardly be considered as “shocks.” Most measures of oil-price shocks in the literature are constructed using only spot oil prices. However, when the market senses any substantial supply-demand imbalances in the future, changes in the spot prices may not fully reflect such imbalances. A number of authors (e.g., Wu and McCallum, 2005; Chinn, LeBlanc, and Coibon, 2005) have found that oil futures prices are indeed quite powerful in predicting spot oil price movements, indicating that at least a portion of such movements may have been anticipated at least a few months in advance. Both these concerns underscore the need to pursue a different approach to obtain more reliable measures of exogenous oil-price shocks.

In this paper, we combine narrative and quantitative approaches to develop new measures of exogenous oil-price shocks that avoid the endogeneity and predictability concerns. We begin by identifying the events that have driven oil-price fluctuations on a daily basis from 1984 to 2007. To achieve this goal, we first collect information from daily oil-market commentaries published in a number of oil-industry trade journals, such as Oil Daily, Oil & Gas Journal, and Monthly Energy Chronology. This leads to the construction of a database that identifies the oil-related events that have occurred each day since January 1984. We then classify these daily events into a number of different event types based on their specific features, such as weather changes in the U.S., military actions in the Middle East, OPEC announcements on oil production, U.S. oil inventory announcements, etc. (see Table 1). Next, for each event type we construct a measure of oil-price shocks by running oil-price forecasting equations on a daily basis. Finally, shock series from exogenous oil events are selected and aggregated into a single measure of exogenous oil-price shocks. By construction, these shock measures should be free of endogeneity and predictability problems, and statistical tests are also conducted to confirm their exogeneity. For robustness, we also provide a number of alternative definitions of exogenous oil-price shocks and construct corresponding shock measures for each one of them.

We employ our new, market-information based measures to study the responses of U.S. output, consumer prices, and monetary policy to exogenous oil-price shocks. We also compare the estimated responses with those obtained following two traditional VAR-based identification strategies that are very popular in the literature. Estimation results reveal substantial and statistically significant output and price responses to exogenous oil-price shocks identified by our market-based methodology. In contrast, responses implied by the VAR-based approaches are much weaker, statistically insignificant, and unstable over time. Moreover, we find that following a demand-driven oil-price shock, real GDP increases and the price level declines. This finding is consistent with scenarios in which oil-price fluctuations are endogenous responses to changes in the level of economic activity rather than reflecting exogenous oil shocks. We argue that traditional VAR-based approaches cannot separate the effects of these two kinds of shocks and consequently lead to biased estimates of the dynamic responses.

Our approach is similar in spirit to the narrative approach pursued in a number of existing studies. Romer and Romer (2004, 2010) adopt it in their analyses of monetary policy and tax shocks, Alexopoulos (2011) and Alexopoulos and Cohen (2009) in the context of technology shocks, and Ramey (2009) in her analysis of government spending shocks. With regard to oil-price shocks, several earlier studies have tried to isolate some geopolitical events associated with abrupt oil-price increases and examine their effects on the U.S. economy. Hamilton (1983, 1985) identifies a number of “oil-price episodes” before 1981, mainly Middle East tensions, and concludes that such oil shocks had effectively contributed to postwar recessions in the U.S. Hoover and Perez (1994) revise Hamilton’s (1983) quarterly dummies into a monthly dummy series and find that oil shocks had led to declines in U.S. industrial production. Bernanke, Gertler, and Watson (1997) construct a quantitative measure, weighting Hoover and Perez’s dummy variable by the log change in the producer price index for crude oil, yet they were not able to find statistically significant macroeconomic responses to oil shocks in a VAR setting. Hamilton (2003) identifies five military conflicts during the postwar period and reexamines the effects of the associated oil shocks on U.S. GDP growth. Finally, Kilian (2008) also analyzes six geopolitical events since 1973, five in the Middle East and one in Venezuela, and examines their effects on the U.S. economy. Our study contributes to the literature by constructing a database of all oil-related events on a daily basis. This allows us to identify all kinds of oil shocks and conduct a more comprehensive analysis than earlier studies. Extracting the “unpredictable” component of oil-price fluctuations using an oil futures price-based forecasting model represents another novelty of our work.

More recently, Kilian (2009) has also used information from the oil market to disentangle different kinds of oil-price shocks. In particular, he has constructed an index of global real economic activity, including it in a tri-variate VAR, along with data on world oil production and real oil prices. Using a recursive ordering of these variables, he recovers an oil-supply shock, a global aggregate demand-driven shock, and an oil market-specific demand shock.  Although his approach is completely different from ours, the effects on the U.S. economy of all three kinds of structural shocks estimated in his work are quite close to our empirical estimates.  This, in turn, corroborates the validity of our approach. We present detailed evidence in subsequent sections.

Our study is also related to the ongoing debate about how the real effects of oil-price shocks have changed over time. For instance, VAR studies, such as those of Hooker (1996) and Blanchard and Galí (2009), have usually found a much weaker and statistically insignificant relationship between their identified oil-price shocks and real GDP growth in the U.S. and other developed economies during the last two to three decades. These results are often cited as evidence suggesting that the U.S. economy has become less volatile and more insulated from external shocks, the result of better economic policy, a lack of large adverse shocks, or a smaller degree of energy dependence (e.g., a more efficient use of energy resources and a larger share of service sector in the U.S. economy), all contributing to a “Great Moderation” starting in the first half of the 1980s. Although we do not challenge this general characterization of the “Great Moderation,” our estimation results reveal a substantial and significant adverse effect of exogenous oil shocks on the U.S. economy, even during the last two and a half decades. Results from VAR studies, in particular the time variation in coefficient estimates, may simply reflect an inadequate identification strategy.

V. CONCLUDING REMARKS

This paper combines narrative and quantitative approaches to examine the dynamic effects of oil-price shocks on the U.S. economy. To correctly identify exogenous oil shocks, we first collect oil-market related information from a number of oil-industry trade journals, and compile a database identifying all the events that have affected the global oil market on a daily basis since 1984. Based on such information, we are able to isolate events that are exogenous to the U.S. economy and construct corresponding measures of exogenous oil-price shocks.  Furthermore, shock magnitudes are calculated by running a real-time oil-price forecasting model incorporating oil futures prices. These procedures help alleviate the endogeneity and predictability problems that have pestered the traditional VAR identification strategies in the literature.

One contribution of our work is the thorough examination of all kinds of oil-related events in the past two and a half decades, more comprehensive than just focusing on geopolitical or military events, as most of the earlier literature has done so far. Moreover, in constructing the database, we have preserved as much primitive information on the oil-market developments as possible, with the hope of facilitating possible future studies by other researchers on the nature and implications of these events. 

After deriving our measures of various kinds of oil shocks, we go on to examine their dynamic macroeconomic effects. We find that exogenous oil-price shocks have had substantial and statistically significant effects on the U.S. economy during the past two and a half decades. In contrast, traditional VAR identification strategies imply a substantially weaker and insignificant real effect for the same period. Further analysis reveals that this discrepancy is likely to stem from the inability of VAR-based approaches to separate exogenous oil-supply shocks from endogenous oil-price fluctuations driven by changes in oil demand. Notably, our study also suggests that the U.S. economy may not have become as insulated from oil shocks during the last two and a half decades as earlier studies have suggested. To examine fully how the oil price-macroeconomy relationship has evolved during the whole postwar period, a thorough study along the same narrative and quantitative approach for the period prior to the “Great Moderation” is called for. This will be the topic for future research.

Volatility, rather than abundance per se, drives the "resource curse" paradox

Commodity Price Volatility and the Sources of Growth. By Tiago V. de V. Cavalcanti, Kamiar Mohaddes, and Mehdi Raissi
IMF Working Paper No. 12/12
http://www.imfbookstore.org/ProdDetails.asp?ID=WPIEA2012012

Summary

This paper studies the impact of the level and volatility of the commodity terms of trade on economic growth, as well as on the three main growth channels: total factor productivity, physical capital accumulation, and human capital acquisition. We use the standard system GMM approach as well as a cross-sectionally augmented version of the pooled mean group (CPMG) methodology of Pesaran et al. (1999) for estimation. The latter takes account of cross-country heterogeneity and cross-sectional dependence, while the former controls for biases associated with simultaneity and unobserved country-specific effects. Using both annual data for 1970-2007 and five-year non-overlapping observations, we find that while commodity terms of trade growth enhances real output per capita, volatility exerts a negative impact on economic growth operating mainly through lower accumulation of physical capital. Our results indicate that the negative growth effects of commodity terms of trade volatility offset the positive impact of commodity booms; and export diversification of primary commodity abundant countries contribute to faster growth. Therefore, we argue that volatility, rather than abundance per se, drives the "resource curse" paradox.


Excerpts

I. INTRODUCTION

Finally, while the resource curse hypothesis predicts a negative effect of commodity booms on long-run growth, our empirical findings (in line with the results reported in Cavalcanti et al.  (2011a) and elsewhere in the literature) show quite the contrary: a higher level of commodity terms of trade significantly raises growth. Therefore, we argue that it is volatility, rather than abundance per se, that drives the "resource curse" paradox. Indeed, our results confirm that the negative growth effects of CTOT volatility offset the positive impact of commodity booms on real GDP per capita.

VI. CONCLUDING REMARKS

This paper examined empirically the effects of commodity price booms and terms of trade volatility on GDP per capita growth and its sources using two econometric techniques. First, we employed a system GMM dynamic panel estimator to deal with the problems of simultaneity and omitted variables bias, derived from unobserved country-specific effects.  Second, we created an annual panel dataset to exploit the time-series nature of the data and used a cross-sectionally augmented pooled mean group (PMG) estimator to account for both cross-country heterogeneity and cross-sectional dependence which arise from unobserved common factors. The maintained hypothesis was that commodity terms of trade volatility affects output growth negatively, operating mainly through the capital accumulation channel.  This hypothesis is shown to be largely validated by our time series panel data method, as well as by the system GMM technique used, suggesting the importance of volatility in explaining the under-performance of primary commodity abundant countries.

While the resource curse hypothesis postulates a negative effect of resource abundance (proxied by commodity booms) on output growth, the empirical results presented in this paper show the contrary: commodity terms of trade growth seems to have affected primary-product exporters positively. Since the negative impact of CTOT volatility on GDP per capita is larger than the growth-enhancing effects of commodity booms, we argue that volatility, rather than abundance per se, drives the resource curse paradox.

An important contribution of our paper was to stress the importance of the overall negative impact of CTOT volatility on economic growth, and to investigate the channels through which this effect operates. We illustrated that commodity price uncertainty mainly lowers the accumulation of physical capital. The GMM results also implied that CTOT volatility adversely affects human capital formation. However, this latter effect was not robust when we used an alternate GARCH methodology to calculate CTOT volatility. Therefore, an important research and policy agenda is to determine how countries can offset the negative effects of commodity price uncertainty on physical and human capital investment.

Another notable aspect of our results was to show the asymmetric effects of commodity terms of trade volatility on GDP per capita growth in the two country groups considered. While CTOT instability created a significant negative effect on output growth in the sample of 62 primary product exporters, in the case of the remaining 56 countries (or even in the full sample of 118 countries) the same pattern was not observed. One explanation for this observation is that the latter group of countries, with more diversified export structure, were better able to insure against price volatility than a sample of primary product exporters.  Finally, we offered some empirical evidence on growth-enhancing effects of export diversification, especially for countries whose GDP is highly dependent on revenues from just a handful of primary products.

The empirical results presented here have strong policy implications. Improvements in the conduct of macroeconomic policy, better management of resource income volatility through sovereign wealth funds (SWF) as well as stabilization funds, a suitable exchange rate regime, and export diversification can all have beneficial growth effects. Moreover, recent academic research has placed emphasis on institutional reform. By establishing the right institutions, one can ensure the proper conduct of macroeconomic policy and better use of resource income revenues, thereby increasing the potential for growth. We await better data on institutional quality to test this hypothesis. Clearly, fully articulated structural models are needed to properly investigate the channels through which the negative growth effects of volatility could be attenuated. This remains an important challenge for future research.

CPSS-IOSCO's Requirements for OTC derivatives data reporting and aggregation: final report

Requirements for OTC derivatives data reporting and aggregation: CPSS-IOSCO publishes final report
January 17, 2012
http://www.bis.org/press/p120117.htm

The Committee on Payment and Settlement Systems (CPSS) and the Technical Committee of the International Organization of Securities Commissions (IOSCO) have published their final report on the OTC derivatives data that should be collected, stored and disseminated by trade repositories (TRs).

The committees support the view that TRs, by collecting such data centrally, would provide authorities and the public with better and more timely information on OTC derivatives. This would make markets more transparent, help to prevent market abuse, and promote financial stability.

The final report reflects public comments received in response to a consultative version of the report published in August 2011. Following the consultation exercise, the report was expanded to elaborate on the description of possible options to address data gaps.

The report was also updated to reflect recent international developments in data reporting and aggregation requirements stemming from the Legal Entity Identifier (LEI) workshop in September 2011 and other efforts under the auspices of the Financial Stability Board (FSB), in support of a request by the G20 at the Cannes Summit, to advance the development of a global LEI.

As the report indicates, some questions remain regarding how best to address current data gaps and define authorities' access to TRs. As requested by the G20, two internationally coordinated working groups will address these questions in the coming year. The FSB will establish an ad hoc group of experts to further consider means of filling current data gaps, while the CPSS and IOSCO will establish a joint group to examine authorities' access to trade repositories.


Report Background

The report addresses Recommendation 19 in the October 2010 report of the FSB, Implementing OTC derivatives market reforms, which called on the CPSS and IOSCO to consult with the authorities and the OTC Derivatives Regulators Forum in developing:

(i)    minimum data reporting requirements and standardised formats, and

(ii)   the methodology and mechanism for data aggregation on a global basis. A final report is due by the end of 2011.

The requirements and data formats will apply both to market participants reporting to TRs and to TRs reporting to the public and to regulators. The report also finds that certain information currently not supported by TRs would be helpful in assessing systemic risk and financial stability, and discusses options for bridging these gaps.

Issues relating to data access for the authorities and reporting entities are discussed, including methods and tools that could provide the authorities with better access to data. Public dissemination of data, it is noted, promotes the understanding of OTC derivatives markets by all stakeholders, underpins investor protection, and facilitates the exercise of market discipline.

The report also covers the mechanisms and tools that the authorities will need for the purpose of aggregating OTC derivatives data.


Notes to editors

• This report was originally published in August 2011 as a consultative report.
• The CPSS serves as a forum for central banks in their efforts to monitor and analyse developments in payment and settlement arrangements as well as in cross-border and multicurrency settlement schemes. The CPSS secretariat is hosted by the Bank of International Settlements (BIS).
• IOSCO is an international policy forum for securities regulators. The Technical Committee, a specialised working committee established by IOSCO's Executive Committee, comprises 18 agencies that regulate some of the world's larger, more developed and internationalised markets. Its objective is to review major regulatory issues related to international securities and futures transactions and to coordinate practical responses to these concerns.
• Both committees are recognised as international standard-setting bodies by the Financial Stability Board (www.financialstabilityboard.org)

The sustainability of pension schemes

The sustainability of pension schemes, by Srichander Ramaswamy
BIS Working Papers No 368
http://www.bis.org/publ/work368.htm


Abstract

Poor financial market returns and low long-term real interest rates in recent years have created challenges for the sponsors of defined benefit pension schemes. At the same time, lower payroll tax revenues in a period of high unemployment, and rising fiscal deficits in many advanced economies as economic activity has fallen, are also testing the sustainability of pay-as-you-go public pension schemes. Amendments to pension accounting rules that require corporations to regularly report the valuation differences between their defined benefit pension assets and plan liabilities on their balance sheet have made investors more aware of the pension risk exposure for the sponsors of such schemes. This paper sheds light on what effects these developments are having on the design of occupational pension schemes, and also provides some estimates for the post-employment benefits that could be delivered by these schemes under different sets of assumptions. The paper concludes by providing some policy perspectives.


8  Summary and policy issues (edited)

A weak macroeconomic environment and unusually low real interest rates in many countries have put the funding challenges faced by occupational and public pension schemes in the spotlight. This paper took a simple actuarial model to quantify how the cost of funding DB pension schemes increase as the real rate of return in asset markets falls. If real returns on pension assets are assumed to be lower by 0.5% compared to their historical averages, service costs of DB schemes would be 15% higher than in the past for the same benefit payments. Converting final salary pension schemes to career average schemes (and not altering the percentages applied) would lower pensions by 20–25% assuming that real wages grow at the rate of 1–1.5% per annum.

Declining mortality rates will put further upward pressure on the contribution rates needed to fund these schemes. When the expected increases in longevity are priced into the actuarial model for computing the service cost, this cost is likely to be 10% higher than estimates presented in the paper. Increasing longevity as well as demographic changes that point to a rise in the old-age dependency ratio poses challenges to the sustainability of PAYG schemes. The projected increase in old-age dependency ratio suggests that in many countries the contributions to PAYG schemes have to increase by 20% from current levels in 2020 to pay pensions. But as PAYG schemes that service current pensions from employee contributions and taxes do not report the contractual pension liabilities, estimating the funding shortfalls these schemes might face going forward is a challenge.

In contrast to PAYG schemes and some funded public pension schemes, occupational DB schemes have to comply with accounting standards to report the market value of their pension liabilities and the assets that back them so that potential funding shortfalls faced by these schemes can be quantified. Unusually low real interest rates and poor financial market returns in the past decade have had an adverse impact on the coverage ratio of these schemes through the valuation effects on liabilities and lower returns on pension assets. Estimates of the coverage ratio of occupational DB schemes based on these returns would point to a funding deficit of 10 to 20 per cent against their pension liabilities. The size of any deficit that eventually materialises over the long lives of these schemes, however, would depend on future returns – which are unknown.

For occupational DB schemes that face large funding shortfalls, employer contributions will have to rise to improve the coverage ratio of these schemes. At the same time, increasing longevity and falling real yields against the backdrop of a weak macroeconomic environment are raising the service costs of DB schemes and adding to the upward pressures on required contribution rates. Recent amendments to pension accounting standards, which require companies to provide more disclosures in their financial statements on the risks the DB scheme poses to the entity and to report the net gains or losses from their DB pension plans on their balance sheet, are likely to accelerate the shift out of occupational DB plans into DC plans. This is because DC plans limit the contractual liabilities of employers to the contribution rates to be paid for the current service period of the employee.

A progressive shift from DB to DC schemes can have material implications for post-employment benefits because it exposes employees to the investment risks on the pension assets. In addition to this risk, beneficiaries of DC plans will also be exposed to the principal risk factors that determine annuity payments, namely level of real interest rates and the projections of mortality rates into the future when the actual annuity payments will be made. Using a simple model to estimate the retirement income from DC schemes, the numerical results presented in Table 2 showed that when contributions to DC schemes are 18% of salaries over a 30-year period and the returns net of administrative expenses on plan assets are 2% higher than the rate at which wages grow, post-employment benefits from a DC scheme would roughly be 43% of the final salary. The excess return assumption of 2% is based on the following input variables in the model to compute retirement income for DC plans: real yield on long-term bonds is 2%; equity risk premium over the returns on long-term government bonds is 3%; plan assets have an equal share of bonds and equities; administrative expenses are 0.5% of plan assets; and the annual real wage growth rate is 1.25%.

The quantitative analysis presented in this paper provides some insights on the possible trade-offs that may be available for public policy on the design of sustainable pension schemes. For example, the internal rate of return on the notional assets of PAYG schemes will be approximately equal to the rate of real GDP growth of the local economy, which is expected to be 2% or lower in advanced economies. The actuarial model showed that service cost of a pension scheme will be high when the rate of return on the pension assets is low. A funded public pension scheme, on the other hand, will be able to raise the level of return on pension fund assets by investing them in higher growth markets. Estimates using the actuarial model suggest that a 50 basis points increase in real returns lowers the service cost of the pension scheme by 15%. Funded pension schemes therefore offer the prospect of lowering service costs and to be able to better align the pension benefits offered by these schemes to the contribution rates received.

Public policy may also be needed to develop efficient markets for pricing annuity risk as occupational DC plans become the preferred post-employment benefit scheme offered by employers. Efficient markets for pricing annuities will in turn depend on how the market for managing and hedging longevity risk develops. As more employers progressively shift towards DC schemes for providing post-employment benefits, regulatory policies might be needed to restrict the range of permissible investment options available for plan assets to avoid unintended risks being taken by the plan beneficiaries, and to set mandatory minimum contribution rates for participating in DC schemes. Finally, considering that plan beneficiaries in DC schemes are exposed to interest rate risk at the time of converting plan assets into an annuity, the pros and cons of providing insurance policies that guarantee a minimum real yield at which these assets can be converted into an annuity will have to be examined.