Saturday, April 13, 2013

BCBS: Monitoring tools for intraday liquidity management - final document

BCBS: Monitoring tools for intraday liquidity management - final document
April 2013
http://www.bis.org/publ/bcbs248.htm

This document is the final version of the Committee's Monitoring tools for intraday liquidity management. It was developed in consultation with the Committee on Payment and Settlement Systems to enable banking supervisors to better monitor a bank's management of intraday liquidity risk and its ability to meet payment and settlement obligations on a timely basis. Over time, the tools will also provide supervisors with a better understanding of banks' payment and settlement behaviour.

The framework includes:
  • the detailed design of the monitoring tools for a bank's intraday liquidity risk;
  • stress scenarios;
  • key application issues; and
  • the reporting regime.
Management of intraday liquidity risk forms a key element of a bank's overall liquidity risk management framework. As such, the set of seven quantitative monitoring tools will complement the qualitative guidance on intraday liquidity management set out in the Basel Committee's 2008 Principles for Sound Liquidity Risk Management and Supervision. It is important to note that the tools are being introduced for monitoring purposes only and that internationally active banks will be required to apply them. National supervisors will determine the extent to which the tools apply to non-internationally active banks within their jurisdictions.

Basel III: The Liquidity Coverage Ratio and liquidity risk monitoring tools (January 2013), which sets out one of the Committee's key reforms to strengthen global liquidity regulations does not include intraday liquidity within its calibration. The reporting of the monitoring tools will commence on a monthly basis from 1 January 2015 to coincide with the implementation of the LCR reporting requirements.

 An earlier version of the framework of monitoring tools was issued for consultation in July 2012. The Committee wishes to thank those who provided feedback and comments as these were instrumental in revising and finalising the monitoring tools.

Authorities' access to trade repository data - consultative report

CPSS: Authorities' access to trade repository data - consultative report
April 2013
www.bis.org/publ/cpss108.htm

The consultative report Authorities' access to trade repository data was published for public comment on 11 April 2013. 

Trade repositories (TRs) are entities that maintain a centralised electronic record of over-the-counter (OTC) derivatives transaction data. TRs will play a key role in increasing transparency in the OTC derivatives markets by improving the availability of data to authorities and the public in a manner that supports the proper handling and use of the data. For a broad range of authorities and official international financial institutions, it is essential to be able to access the data needed to fulfil their respective mandates while maintaining the confidentiality of the data pursuant to the laws of relevant jurisdictions.

The purpose of the report is to provide guidance to TRs and authorities on the principles that should guide authorities' access to data held in TRs for typical and non-typical data requests. The report also sets out possible approaches to addressing confidentiality concerns and access constraints. Accompanying the report is a cover note that lists the specific related issues for comment.
Comments should be sent by 10 May 2013 to both the CPSS secretariat (cpss@bis.org) and the IOSCO secretariat (accessdata@iosco.org). The comments will be published on the websites of the BIS and IOSCO unless commentators have requested otherwise.

Thursday, April 11, 2013

Market-Based Structural Top-Down Stress Tests of the Banking System. By Jorge Chan-Lau

Market-Based Structural Top-Down Stress Tests of the Banking System. By Jorge Chan-Lau
IMF Working Paper No. 13/88
April 10, 2013
http://www.imf.org/external/pubs/cat/longres.aspx?sk=40468.0

Summary: Despite increased need for top-down stress tests of financial institutions, performing them is challenging owing to the absence of granular information on banks’ trading and loan portfolios. To deal with these data shortcomings, this paper presents a market-based structural top-down stress testing methodology that relies in market-based measures of a bank's probability of default and structural models of default risk to infer the capital losses they could experience in stress scenarios. As an illustration, the methodology is applied to a set of banks in an advanced emerging market economy.

Tuesday, April 2, 2013

Regulators Let Big Banks Look Safer Than They Are. By Sheila Bair

Regulators Let Big Banks Look Safer Than They Are. By Sheila Bair
The Wall Street Journal, April 2, 2013, on page A13
http://online.wsj.com/article/SB10001424127887323415304578370703145206368.html

The recent Senate report on the J.P. Morgan Chase "London Whale" trading debacle revealed emails, telephone conversations and other evidence of how Chase managers manipulated their internal risk models to boost the bank's regulatory capital ratios. Risk models are common and certainly not illegal. Nevertheless, their use in bolstering a bank's capital ratios can give the public a false sense of security about the stability of the nation's largest financial institutions.

Capital ratios (also called capital adequacy ratios) reflect the percentage of a bank's assets that are funded with equity and are a key barometer of the institution's financial strength—they measure the bank's ability to absorb losses and still remain solvent. This should be a simple measure, but it isn't. That's because regulators allow banks to use a process called "risk weighting," which allows them to raise their capital ratios by characterizing the assets they hold as "low risk."

For instance, as part of the Federal Reserve's recent stress test, the Bank of America reported to the Federal Reserve that its capital ratio is 11.4%. But that was a measure of the bank's common equity as a percentage of the assets it holds as weighted by their risk—which is much less than the value of these assets according to accounting rules. Take out the risk-weighting adjustment, and its capital ratio falls to 7.8%.

On average, the three big universal banking companies (J.P. Morgan Chase, Bank of America and Citigroup) risk-weight their assets at only 55% of their total assets. For every trillion dollars in accounting assets, these megabanks calculate their capital ratio as if the assets represented only $550 billion of risk.

As we learned during the 2008 financial crisis, financial models can be unreliable. Their assumptions about the risk of steep declines in housing prices were fatally flawed, causing catastrophic drops in the value of mortgage-backed securities. And now the London Whale episode has shown how capital regulations create incentives for even legitimate models to be manipulated.

According to the evidence compiled by the Senate Permanent Subcommittee on Investigations, the Chase staff was able to magically cut the risks of the Whale's trades in half. Of course, they also camouflaged the true dangers in those trades.

The ease with which models can be manipulated results in wildly divergent risk-weightings among banks with similar portfolios. Ironically, the government permits a bank to use its own internal models to help determine the riskiness of assets, such as securities and derivatives, which are held for trading—but not to determine the riskiness of good old-fashioned loans. The risk weights of loans are determined by regulation and generally subject to tougher capital treatment. As a result, financial institutions with large trading books can have less capital and still report higher capital ratios than traditional banks whose portfolios consist primarily of loans.

Compare, for instance, the risk-based ratios of Morgan Stanley, an investment bank that has struggled since the crisis, and U.S. Bancorp, a traditional commercial lender that has been one of the industry's best performers. According to the Fed's latest stress test, Morgan Stanley reported a risk-based capital ratio of nearly 14%; take out the risk weighting and its ratio drops to 7%. USB has a risk-based ratio of about 9%, virtually the same as its ratio on a non-risk weighted basis.

In the U.S. and most other countries, banks can also load up on their own country's government-backed debt and treat it as having zero risk. Many banks in distressed European nations have aggressively purchased their country's government debt to enhance their risk-based capital ratios.

In addition, if a bank buys the debt of another bank, it only needs to include 20% of the accounting value of those holdings for determining its capital requirements—but it must include 100% of the value of bonds of a commercial issuer. The rules governing capital ratios treat Citibank's debt as having one-fifth the risk of IBM's. In a financial system that is already far too interconnected, it defies reason that regulators give banks such strong capital incentives to invest in each other.

Regulators need to use a simple, effective ratio as the main determinant of a bank's capital strength and go back to the drawing board on risk-weighting assets. It does make sense to look at the riskiness of banks' assets in determining the adequacy of its capital. But the current rules are upside down, providing more generous treatment of derivatives trading than fully collateralized small-business lending.

The main argument megabanks advance against a tough capital ratio is that it would force them to raise more capital and hurt the economic recovery. But the megabanks aren't doing much new lending. Since the crisis, they have piled up excess reserves and expanded their securities and derivatives positions—where they get a capital break—while loans, which are subject to tougher capital rules, have remained nearly flat.

Though all banks have struggled to lend in the current environment, midsize banks, with their higher capital levels, have the strongest loan growth, and community banks do the lion's share of small-business lending. A strong capital ratio will reduce megabanks' incentives to trade instead of making loans. Over the long term, it will make these banks a more stable source of credit for the real economy and give them greater capacity to absorb unexpected losses. Bet on it, there will be future London Whale surprises, and the next one might not be so easy to harpoon.

Ms. Bair, the chairman of the Federal Deposit Insurance Corporation from 2006 to 2011, is the author of "Bull by the Horns: Fighting to Save Main Street From Wall Street and Wall Street From Itself" (Free Press, 2012).

Monday, April 1, 2013

China's Demography and its Implications

China's Demography and its Implications. By Il Houng Lee, Qingjun Xu, and Murtaza Syed
IMF Working Paper No. 13/82
Mar 28, 2013
http://www.imf.org/external/pubs/cat/longres.aspx?sk=40446.0

Summary: In coming decades, China will undergo a notable demographic transformation, with its old-age dependency ratio doubling to 24 percent by 2030 and rising even more precipitously thereafter. This paper uses the permanent income hypothesis to reassess national savings behavior, with greater prominence and more careful consideration given to the role played by changing demography. We use a forward-looking and dynamic approach that considers the entire population distribution. We find that this not only holds up well empirically but may also be superior to the static dependency ratios typically employed in the literature. Going further, we simulate global savings behavior based on our framework and find that China’s demographics should have induced a negative current account in the 2000s and a positive one in the 2010s given the rising share of prime savers, only turning negative around 2045. The opposite is true for the United States and Western Europe. The observed divergence in current account outcomes from the simulated path appears to have been partly policy induced. Over the next couple of decades, individual countries’ convergence toward the simulated savings pattern will be influenced by their past divergences and future policy choices. Other implications arising from China’s demography, including the growth model, the pension system, the labor market, and the public finances are also briefly reviewed.

China’s Path to Consumer-Based Growth: Reorienting Investment and Enhancing Efficiency

China’s Path to Consumer-Based Growth: Reorienting Investment and Enhancing Efficiency. By Il Houng Lee, Murtaza Syed, and Liu Xueyan (Xueyan Liu???)
IMF Working Paper No. 13/83
March 29, 2013

http://www.imf.org/external/pubs/cat/longres.aspx?sk=40446.0

Summary: This paper proposes a possible framework for identifying excessive investment. Based on this method, it finds evidence that some types of investment are becoming excessive in China, particularly in inland provinces. In these regions, private consumption has on average become more dependent on investment (rather than vice versa) and the impact is relatively short-lived, necessitating ever higher levels of investment to maintain economic activity. By contrast, private consumption has become more self-sustaining in coastal provinces, in large part because investment here tends to benefit household incomes more than corporates. If existing trends continue, valuable resources could be wasted at a time when China’s ability to finance investment is facing increasing constraints due to dwindling land, labor, and government resources and becoming more reliant on liquidity expansion, with attendant risks of financial instability and asset bubbles. Thus, investment should not be indiscriminately directed toward urbanization or industrialization of Western regions but shifted toward sectors with greater and more lasting spillovers to household income and consumption. In this context, investment in agriculture and services is found to be superior to that in manufacturing and real estate. Financial reform would facilitate such a reorientation, helping China to enhance capital efficiency and keep growth buoyant even as aggregate investment is lowered to sustainable levels.

Friday, March 29, 2013

America's Voluntary Standards System: A 'Best Practice' Model for Asian Innovation Policies? By Dieter Ernst

America's Voluntary Standards System: A 'Best Practice' Model for Asian Innovation Policies? By Dieter Ernst
East-West Center, Policy Studies, No. 66, March 2013
ISBN: 978-0-309-26204-5 (print); 978-0-86638-205-2 (electronic)
Pages: xvi, 66
http://www.eastwestcenter.org/publications/americas-voluntary-standards-system-best-practice-model-asian-innovation-policies


Summary

Across Asia there is a keen interest in the potential advantages of America's market-led system of voluntary standards and its contribution to US innovation leadership in complex technologies.

For its proponents, the US tradition of bottom-up, decentralized, informal, market-led standardization is a "best practice" model for innovation policy. Observers in Asia are, however, concerned about possible drawbacks of a standards system largely driven by the private sector.

This study reviews the historical roots of the American system, examines its defining characteristics, and highlights its strengths and weaknesses. A tradition of decentralized local self-government has given voice to diverse stakeholders in innovation. However, a lack of effective coordination of multiple stakeholder strategies constrains effective and open standardization processes.

Asian countries seeking to improve their standards systems should study the strengths and weaknesses of the American system. Attempts to replicate the US standards system will face clear limitations--persistent differences in Asia's economic institutions, levels of development, and growth models are bound to limit convergence to a US-style market-led voluntary standards system.

Thursday, March 28, 2013

Too Cold, Too Hot, Or Just Right? Assessing Financial Sector Development Across the Globe

Too Cold, Too Hot, Or Just Right? Assessing Financial Sector Development Across the Globe. By A Barajas et alii.
IMF Working Paper No. 13/81
March 28, 2013
http://www.imf.org/external/pubs/cat/longres.aspx?sk=40441.0

Summary: This paper introduces the concept of the financial possibility frontier as a constrained optimum level of financial development to gauge the relative performance of financial systems across the globe. This frontier takes into account structural country characteristics, institutional, and macroeconomic factors that impact financial system deepening. We operationalize this framework using a benchmarking exercise, which relates the difference between the actual level of financial development and the level predicted by structural characteristics, to an array of policy variables. We also show that an overshooting of the financial system significantly beyond levels predicted by its structural fundamentals is associated with credit booms and busts.


Excerpts:

Ample empirical evidence has shown a positive, albeit non-linear, relationship between financial system depth, economic growth, and macroeconomic volatility. At the same time, rapid expansion in credit has been associated with higher bank fragility and the likelihood of a systemic banking crisis.1 This seemingly conflicting evidence is actually consistent with theory. The same mechanisms through which finance helps growth also makes it susceptible to shocks and, ultimately, fragility. Specifically, the maturity and liquidity transformation from short-term savings and deposit facilities into long-term investments is at the core of the positive impact finance on the real economy, but it can also render the system susceptible to shocks. The information asymmetries and ensuing agency problems between savers and entrepreneurs that banks help to alleviate can also turn into a source of fragility given agency conflicts between depositors/creditors and banks.

The importance of the financial sector for the overall economy raises the question of the “optimal” or “Goldilocks” level of financial depth and the requisite policies to reach this optimum. Given the dual-faced nature of financial deepening, contributing to growth while often resulting in boom-bust cycles, and the identification of non-linear relationships between growth, volatility, and financial depth, it is apparent that additional deepening is not always desirable. Further, there is increasing evidence for a critical role of the financial system in defining policy space and the transmission of fiscal, monetary and exchange rate policies (IMF, 2012). Both shallow as well as over-extended financial systems can severely reduce the available policy space and hamper transmission channels.

The conceptual and empirical frameworks offered in this paper are relevant for the academic and policy debate on financial sector deepening, particularly in developing countries. We introduce the concept of a financial possibility frontier as a constrained optimum level of financial development to gauge the relative performance of financial systems around the globe. Specifically, this concept allows us to assess the performance of countries’ financial systems over time relative to structural country characteristics and other state variables (e.g., macroeconomic and institutional variables). Depending on the position of country’s financial system relative to the frontier, policy options can be prioritized to address deficiencies.

Three different sets of policies can be delineated depending on a country’s standing relative to the frontier. Market-developing policies, related to macroeconomic stability, long-term institution building, and other measures to overcome constraints imposed by a small size or volatile economic structure, can help push out the frontier. Market-enabling policies, which address deficiencies such as regulatory barriers and lack of competition, can help a financial system move toward the frontier. Finally, market-harnessing policies help prevent a financial system from moving beyond the frontier (the long-term sustainable equilibrium), and include regulatory oversight and short-term macroeconomic management.

We also operationalize this conceptual framework by presenting a benchmark model that predicts countries’ level of financial development based on structural characteristics (e.g., income, size, and demographic characteristics) and other fundamental factors. The most straightforward approach for assessing a country’s progress in financial deepening is to benchmark its financial system against peers or regional averages. Such comparisons, while useful, do not allow for a systematic unbundling of structural and policy factors that have a bearing on financial deepening. Using regression analysis, we relate gaps between predicted and actual levels of financial development to an array of macroeconomic, regulatory, and institutional variables. We also provide preliminary evidence that overshooting the predicted level of financial development is associated with credit boom-bust episodes, underlining the importance of optimizing rather than maximizing financial development.

This paper is related to several literatures. First, it is directly related to an earlier exercise to derive an access possibilities frontier as a conceptual tool to assess the optimal level of sustainable outreach of the financial system (Beck, and de la Torre, 2007). While Beck, and de la Torre (2007) focus on the microeconomics of access to and use of financial services, this paper provides a macroeconomic perspective on financial sector development. Second, our paper is related to the empirical literature on benchmarking. Based on Beck et al. (2008) and Al Hussainy et al. (2011), we derive a benchmarking model that relates a country’s level of financial development over time to a statistical benchmark, obtained from a large panel regression.

In a broader sense, the paper is also related to the literature on the finance-growth nexus, financial crises, and studies identifying policies needed for sound and effective financial systems. The finance and growth literature, as surveyed by Levine (2005), among others, has found a positive relationship between financial deepening and growth. More recent work, however, has uncovered non-linearities in this relationship. There is evidence that the effect of financial development is strongest among middle-income countries (Barajas et al., 2012), whereas other work finds a declining effect of finance on growth as countries grow richer.2 More recently, Arcand et al. (2012) find that the finance-growth relationship becomes negative as private credit reaches 110 percent of GDP, while Dabla-Norris and Srivisal (2013) document a positive relationship between financial depth and macroeconomic volatility at very high levels.

Our paper is also related to a growing literature exploring the anatomy of financial crises. This literature has pointed to the role of macroeconomic, bank-level and regulatory factors in driving and exacerbating financial fragility. Finally, our paper is related to a diverse literature exploring macroeconomic and institutional determinants of sound and efficient financial deepening.