Do Relationships Matter? Evidence from Loan Officer Turnover

Do Relationships Matter? Evidence from Loan Officer Turnover. By Alejandro, Drexler, and Antoinette Schoar
World Bank Blogs, Mon Aug 12, 2013
http://blogs.worldbank.org/allaboutfinance/do-relationships-matter-evidence-loan-officer-turnover

One of the most frequent causes of credit constraints is the presence of asymmetric information between businesses and investors. Asymmetric information is particularly problematic for micro-entrepreneurs where the information about cash flows and investment decisions is not formally recorded. Furthermore, micro-entrepreneurs many times have few assets to pledge as collateral and do not have a guarantor with a solid financial condition, making it even more difficult for them to access the credit market.

Microfinance institutions specialize in lending to these types of borrowers and have lending technologies that do not rely on formal records. Instead, revenues and expenses are estimated based on non-verifiable information collected by loan officers during field visits to the borrowers’ houses and businesses.

During these field visits, loan officers observe the premises of the business, the inventory, and other relevant information the borrowers can demonstrate. They also discuss business matters with the entrepreneurs as well as personal matters that might affect their repayment capacity.

Loan officers’ expertise is crucial to estimate the financial health of a business during these short visits. For example, experienced loan officers are able to estimate businesses’ inventories and revenues by observing key variables, including the products on the shelves or the number of clients that show up at the business during the visit. Although these observations cannot be verified and are considered soft information, the types of skills that lead to such information can be acquired through training, are not loan officer-client specific, and can be applied even if the loan officer is not acquainted with the entrepreneur.

However, an important fraction of the information required to make a microfinance lending decision is private and is collected during the social interactions between the loan officers and the entrepreneurs. The flow of this type of information strongly depends on the interpersonal ties between the borrowers and the loan officers (Uzzi, 1996). For example,it is unlikely that borrowers would disclose their health expenses, alimony expenses, or other expenses they incur to support family members in need to a stranger. Therefore, this type of information is lost when a loan officer leaves the bank, unless the private information can be credibly transferred to a new loan officer, and/or if the departing loan officer can convince borrowers to share “personal information” with the new loan officer.

The social relationship between the loan officers and the borrowers not only helps the bank to make better lending decisions, but also might increase the willingness of the borrowers to get debt. This is particularly important for borrowers that associate a negative connotation with debt, are unfamiliar with financial services, or mistrust financial institutions. On the downside, making lending decisions based on these social interactions makes banks dependent on loan officers and subject to their misinterpretation or misreporting of information.

While it is recognized that the social relationship between the loan officers and the entrepreneurs can have important implications for the lenders and the borrowers, little is known about the costs associated with disruptions to these relationships.

In a recent study, we test the importance of interpersonal relationships in the lending process. In particular, we study whether the banks’ lending decision and the borrowers’ repayment rate, willingness to get debt at the bank, and willingness to get debt at other banks are affected when a loan officer is absent for long periods of time.

We find that the relationship between loan officers and borrowers has first-order implications on entrepreneurs’ credit availability, repayment behavior, and borrowing decisions. When loan officers are absent, we observe a 20% decrease in the probability that clients get a new loan. This reduction is the consequence of both a 5% decrease in the bank’s loan approval rate and a 15% reduction in the number of applications. We do not observe a change in credit terms such as interest rates or maturity; this indicates that the bank adjusts the risk by cutting credit and not by adjusting the price of the loans. We also observe a 22% increase in the probability of missing a payment and an 18% increase in the probability of default for the borrower.

To understand the conditions in which this information can be transferred or generated by the new loan officer, we look at variations in: (1) how well the absence of loan officers can be planned in advance, since it is more difficult to transfer soft information in the case of completely unplanned leaves, and (2) whether the departing loan officers have any incentives to collaborate in conveying information to replacement loan officers. We observe four different types of absences due to sickness, resignation, pregnancy, and dismissal. We use sickness leaves as a baseline, because they are both unexpected and exogenous.

During sickness leaves, we still observe a decrease in lending and an increase in delinquency, but we do not see an increase in outright default. This finding indicates that most payment delays are caused by reduced monitoring and not caused by financial distress. We also observe a decrease in the probability of applying for a new loan at the bank, but an increase in the probability of applying for credit at other banks, suggesting a reduction in the loyalty of clients toward the bank.

We observe similar results during maternity leaves, but we do not observe an increase in the probability of approaching other banks. This is natural since maternity leaves are exogenous but anticipated, and the loan officers can set up their clients with new loans before they leave.

The strongest reduction in credit and the strongest increase in default are observed after loan officers are dismissed. We believe this is the result of poor past performance of the dismissed loan officers as well as a lack of incentive to transfer any soft information.

However, clients of resigning loan officers are less affected by the leave; application probability does not present a significant decrease and the default rate does not increase. This might indicate that when given enough time, loan officers can brief the replacing loan officers about the soft information of the clients. It also suggests that when having the right incentives, the departing loan officers can familiarize the new loan officers with the clients and gain their confidence.

We also study whether the importance of social relationships depends on borrowers’ characteristics. As expected, the probability of the bank approving a loan to firms with larger and better credit risks less affected by loan officer leaves, probably because hard information about the clients is more readily available. However, we also observe that the probability of applying for a new loan at the bank and the probability of applying for a new loan at other banks do not change after the leave. This finding can indicate that the relationship between clients with large and good credit scores and the bank is less dependent on loyalty.

We also find that female clients are more affected by loan officers’ absences, which is probably because female clients have fewer assets and many times operate informal businesses from home. Therefore, cash flows are particularly difficult to verify and personal information is particularly relevant. This finding highlights the importance of micro-credit lending on promoting women’s financial inclusion.

Overall the results in the study support the view that personal relationships are crucial to reduce credit constraints and improve entrepreneurs’ incentives to repay. The results suggest that close social ties between the loan officers and the borrowers can increase the offer of credit to micro entrepreneurs, but also indicate that the demand for credit can depend on social ties. In light of these results, the high turnover observed in the loan officers’ labor market can be very costly for banks and borrowers and can be one of the factors that impede many micro-businesses to grow beyond subsistence level.



References

Drexler, Alejandro, and Antoinette Schoar. 2012. Do Relationships Matter? Evidence from Loan Officer Turnover. Working Paper. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2144337

Uzzi, Brian. 1996. The Sources and Consequences of Embeddedness for the Economic Performance of Organizations: The Network Effect. American Sociological Review pp. 674–698.

Longevity risk transfer markets: market structure, growth drivers and impediments, and potential risks - consultative report

Longevity risk transfer markets: market structure, growth drivers and impediments, and potential risks - consultative report
The Joint Forum
August 2013

http://www.bis.org/publ/joint31.htm

The ageing population phenomenon being observed in many countries poses serious social policy challenges. Longevity risk - the risk of paying out on pensions and annuities longer than anticipated - is significant when measured from a financial perspective. Longevity risk transfer markets: market structure, growth drivers and impediments, and potential risks (PDF) is a forward-looking report released by the Joint Forum on longevity risk transfer (LRT) markets.


Recommendations:

Whether or not policymakers should play a more active role in encouraging longevity risk transfer from private pension plans to (re)insurers and ultimately to broader capital markets depends on considerations regarding where this risk is best held. Answering this question is beyond the scope of this preliminary analysis, but some relevant factors are worth mentioning.

Advocates of more LRT (see, e.g., Towers Watson, 2011, and Swiss Re, 2012) point to already visible and unwieldy corporate pension benefit obligations and to the heavy underfunding of DB pension funds.31 In this context, they recognise that not only are pension obligations a sizeable distraction to corporate core business lines, but a significant longevity shock could undermine the firm’s own existence. In addition, they point out that some LRT instruments (namely buy-outs) may provide pensioners with a more stringently regulated (re)insurer counterparty.

In addition, policymakers may want to encourage (re)insurers to use LRT markets to free up capital in order to give (re)insurers (or any other entities allowed to provide annuity products) the possibility of writing more of these annuities, which are useful and unique retirement products. On the other hand, the transfer of risk from a mature sector with significant capital requirements to an LRT market that may not have these safeguards may not be in the employees’ best interests, and may even create new systemic risks.

At the same time, when longevity risk is shifted from the corporate sector to a limited number of (re)insurers, with global interconnections, there may be systemic consequences in the case of a failure of a key player (as was the case in the CRT market). Most countries in which this view is shared incentivise the private sector to provide adequate retirement benefits to employees, sometimes providing explicit protection to corporate pension funds with government-supported guarantee schemes. In other countries, this view is expressed implicitly by allowing pension funds to value their liabilities with a discount rate that is higher than the one used for (re)insurers’ reserves.

Motivated by the aforementioned preliminary findings, the Joint Forum proposes the following recommendations to supervisors and policymakers:

1. Supervisors should communicate and cooperate on LRT internationally and cross-sectorally in order to reduce the potential for regulatory arbitrage.
2. Supervisors should seek to ensure that holders of longevity risk under their supervision have the appropriate knowledge, skills, expertise and information to manage it.
3. Policymakers should review their explicit and implicit policies with regards to where longevity risk should reside to inform their policy towards LRT markets. They should also be aware that social policies may have consequences on both longevity risk management practices and the functioning of LRT markets.
4. Policymakers should review rules and regulations pertaining to the measurement, management and disclosure of longevity risk with the objective of establishing or maintaining appropriately high qualitative and quantitative standards, including provisions and capital requirements for expected and unexpected increases in life expectancy.
5. Policymakers should consider ensuring that institutions taking on longevity risk, including pension fund sponsors, are able to withstand unexpected, as well as expected, increases in life expectancy.
6. Policymakers should closely monitor the LRT taking place between corporates, banks, (re)insurers and the financial markets, including the amount and nature of the longevity risk transferred, and the interconnectedness this gives rise to.
7. Supervisors should take into account that longevity swaps may expose the banking sector to longevity tail risk, possibly leading to risk transfer chain breakdowns.
8. Policymakers should support and foster the compilation and dissemination of more granular and up-to-date longevity and mortality data that are relevant for the valuations of pension and life insurance liabilities.

References

• Aegon, 2011, “Paying the Price for Living Longer: What is the Right Price for Removing Longevity Risk?” Aegon Global Pensions View.
• A.M. Best, 2009, “Life Settlement Securitization,” Criteria – Insurance-Linked Securities, November 24.
• An, Heng, Zhaodan Huang, and Ting Zhang, 2013, "What Determines Corporate Pension Fund Risk-Taking Strategy?" Journal of Banking & Finance, Vol. 37, No. 2, pp. 597–613.
• Aon Hewitt, 2011, Global Pension Risk Survey 2011. Available at www.aon.com/netherlands/persberichten/2011/Aon_Hewitt_GRS_EURO_2011.pdf)
• Barrieu, Pauline, Harry Bensusan, Nicole El Karoui, Caroline Hillairet, Stephane Loisel, Claudia Ravanelli, Yahia Salhi, 2012, "Understanding, Modelling and Managing Longevity Risk: Key Issues and Main Challenges," Scandinavian Actuarial Journal, Volume 2012, Issue 3, pp. 203-231.
• Biffis, Enrico and David Blake, 2009, “Mortality-Linked Securities and Derivatives,” October 7. Available at SSRN: http://ssrn.com/abstract=1340409
• Biffis, Enrico and David Blake, 2012, “How to Start a Capital Market in Longevity Risk Transfers,” Unpublished manuscript, September.
• Biffis, Enrico, David Blake, Lorenzo Pitotti, and Ariel Sun, 2011, “The Cost of Counterparty Risk and Collateralization in Longevity Swaps,” Cass Business School Pension Institute Working Paper (London: City University, April.
• Black, Fischer, 1980. "The Tax Consequences of Long-Run Pension Policy," Financial Analysts Journal, Vol. 36, No. 4, pp. 21-28.
• Blake, David, Tom Boardman, and Andrew Cairns, 2010, “Sharing Longevity Risk: Why Governments Should Issue Longevity Bonds,” Cass Business School Pension Institute Working Paper, (London: City University, March).
• Bodie, Zvi, Jay O. Light, Randall Morck, and Robert A. Taggart Jr., 1987. "Funding and Asset Allocation in Corporate Pension Plans: An Empirical Investigation," In: Bodie, Zvi, John B. Shoven, and David A. Wise, (Eds.), Issues in Pension Economics, University of Chicago Press, Chicago, pp. 15-47.
• Brown, Jeffrey R., Jeffrey R. Kling, Sendhil Mullainathan, and Marian V. Wrobel, 2008, “Why Don’t People Insure Late Life Consumption? A Framing Explanation of the Under-Annuitization Puzzle,” National Bureau of Economic Research Working Paper No. 13748, January.
• Cairns, Andrew J.G., 2013, "Modelling and Management of Longevity Risk," Unpublished Working Paper, March.
• Cardinale, Mirko, 2007. "Corporate Pension Funding and Credit Spreads," Financial Analysts Journal, Vol. 63, No. 5, pp. 82-101.
• Cass Business School, 2005, “Is longevity risk a one-way market?” Cass Business School Pension Institute. Available at www.pensions-institute.org/conferences/longevity/conference_summary_18.02.05.pdf
• Coughlan, Marwa Khalaf-Allah, Yijing Ye, Sumit Kumar, Andrew J.G. Cairns, David Blake, and Kevin Dowd, 2011, “Longevity Hedging 101: A Framework for Longevity Basis Risk Analysis and Hedge Effectiveness,” North American Actuarial Journal, Vol. 15, No. 2, pp. 150–76.
• Cox, Samuel H. and Yijia Lin, 2007, “Natural Hedging of Life and Annuity Mortality Risks,” North American Actuarial Journal, Vol. 11, No. No. 3, pp. 1–15.
• CRO Forum, 2010, “Longevity,” CRO Briefing Emerging Risks Initiative Position Paper. Available at www.thecroforum.org/publication/eri_longevity.
• Dowd, Kevin, David Blake, Andrew J.G. Cairns, and Paul Dawson, 2006, “Survivor Swaps,” Journal of Risk and Insurance, Vol. 73, No. 1, pp. 1–17.
• Financial Stability Report (FSB), 2013, “OTC Derivatives Market Reforms: Fifth Progress Report on Implementation,” April 15.
• Fitch Ratings, 2012, “Pension Plan Changes Incrementally Positive to GM's Credit Profile,” Fitch Ratings Endorsement Policy, June 1.
• Fong, Joelle H. Y., Olivia S. Mitchell, and Benedict S.K. Koh, 2011, “Longevity Risk Management in Singapore’s National Pension System,” Journal of Risk and Insurance, Vol. 78, No. 4, pp. 961-981.
• Francis, Jere R., and Sara Ann Reiter, 1987, "Determinants of Corporate Pension Funding Strategy," Journal of Accounting and Economics, Vol. 9, pp. 35-59.
• Gallagher, Ronan C., and Donal G. McKillop, 2010, "Unfunded Pension Liabilities and the Corporate CDS Market," Journal of Fixed Income, Winter, pp. 30-46.
• Groome, Todd, John Kiff, and Paul Mills, 2011, “Influencing Financial Innovation: The Management of Systemic Risks and the Role of the Public Sector,” in Beder, Tanya, and Cara M. Marshall, 2011, Financial Engineering: The Evolution of a Profession, John Wiley & Sons Inc.
• International Monetary Fund (IMF), 2012, Global Financial Stability Report, World Economic and Financial Surveys (Washington, April).
• Joint Forum, 2008, Credit Risk Transfer - Developments from 2005 to 2007, July.
• Joint Forum, 2010, Review of the Differentiated Nature and Scope of Financial Regulation, January.
• Lee, Yung-Tsung, Chou-Wen Wang, Hong-Chih Huang, 2012, "On the valuation of reverse mortgages with regular tenure payments," Insurance: Mathematics and Economics, Vol. 51, pp. 430–441.
• Li, Johnny Siu-Hang, and Mary R. Hardy, 2011, “Measuring Basis Risk in Longevity Hedges,” North American Actuarial Journal, Vol. 15, No.2, pp. 177–200.
• Monk, Ashby H.B., 2010, “Pension Buyouts: What Can The USA Learn From The UK Experience?” International Journal of Financial Services Management, Vol. 4, No. 2, pp. 127-150.
• McFarland, Brendan, Gaobo Pang, and Mark Warshawsky, 2009, "Does Freezing a Defined-Benefit Pension Plan Increase Company Value? Empirical Evidence," Financial Analysts Journal, Vol. 65, No. 4., pp. 47-59.
• Moody’s, 2009, “Managing Ratings with Increased Pension Liability,” Moody’s Investor’s Service, March.
• Moody’s, 2012, “Moody's says GM's Credit Profile and Rating Unchanged by Salaried Pension Actions,” Moody’s Investor’s Service, June 1.
• Organisation for Economic Co-operation and Development (OECD), 2012a, “OECD Pensions Outlook 2012,” June.
• Organisation for Economic Co-operation and Development (OECD), 2012b, “Pension Markets in Focus,” September.
• Pension Protection Fund, 2011, “PPF 7800 Index,” United Kingdom Pension Protection Fund, October 31. (www.pensionprotectionfund.org.uk/Pages/PPF7800Index.aspx)
• Ponds, Eduard, and Bart van Riel, 2009, “Sharing the Risk: The Netherlands’ New Approach to Pensions, Journal of Pension Economics and Finance 8, pp. 91-105.
• Sagoo, Pretty, and Roger Douglas, 2012, “Recent Innovations in Longevity Risk Management; A New Generation of Tools Emerges,” Eighth International Longevity Risk and Capital Markets Solutions Conference, September 8. Available at www.cass.city.ac.uk/__data/assets/pdf_file/0008/141587/Sagoo_Douglas_presentation.pdf
• Sharpe, William, F., 1976. "Corporate Pension Funding Policy," Journal of Financial Economics, Vol. 3, No. 3, pp. 183-193.
• Standard & Poor’s (S&P), 2011, “Life Settlement Securitizations Present Unique Risks,” Structured Finance Research, March 2.
• Standard & Poor’s (S&P), 2012, “General Motors Co.'s Proposed Actions On U.S. Salaried Pension Plans Do Not Affect Ratings,” Standard & Poor’s Bulletin, June 1.
• Stone, Charles and Anne Zissu, 2006, "Securitization of Senior Life Settlements: Managing Extension Risk." Journal of Derivatives, Spring.
• Swiss Re, 2010, A Short Guide to Longer Lives: Longevity Funding Issues and Potential Solutions. Available at http://media.swissre.com/documents/Longer_lives.pdf
• Swiss Re, 2012, A Mature Market: Building a Capital Market for Longevity Risk. Available at http://media.swissre.com/documents/Mature_Market_EN.pdf
• Szymanoski, Edward J. , Jr., 1990, "The FHA Home Equity Conversion Mortgage Insurance Demonstration: A Model to Calculate Borrower Payments and Insurance risk, U.S. Department of Housing and Urban Development, October.
• Szymanoski, Edward J. , Jr., 1994, "Risk and the Home Equity Conversion Mortgage," Journal of the American Real Estate and Urban Economics Association, Vol. 22, No. 2, pp. 347-366.
• Towers Watson, 2011, Insights into Global Pension Risk.
• Treynor, Jack L., 1977. "The Principles of Corporate Pension Finance," Journal of Finance, Vol. 32, No. 2, pp. 627-638.
• UK Pension Protection Fund, 2006, The Purple Book: DB Pensions Universe Risk Profile, Jointly prepared by the UK Pension Protection Fund and The Pensions Regulator. Available at www.pensionprotectionfund.org.uk/Pages/ThePurpleBook.aspx
• Waddell, Melanie, 2010, “Biggest Barriers to Lifetime Income Adoption: Fiduciary Liability, Insurer Insolvency,” AdvisorOne.com, September 14.
• Zelenko, Ivan, 2011, “Longevity Risk Hedging and the Stability of Retirement Systems,” World Bank presentation given at the Cass Business School Pension Institute Seventh International Longevity Risk and Capital Markets Solutions Conference, Frankfurt, September 8

Evaluating early warning indicators of banking crises: Satisfying policy requirements

Evaluating early warning indicators of banking crises: Satisfying policy requirements
By Mathias Drehmann and Mikael Juselius
BIS Working Papers No 421

Aug 2013

http://www.bis.org/publ/work421.htm
 

Early warning indicators (EWIs) of banking crises should ideally be evaluated on the basis of their performance relative to the macroprudential policy maker's decision problem. We translate several practical aspects of this problem - such as difficulties in assessing the costs and benefits of various policy measures as well as requirements for the timing and stability of EWIs - into statistical evaluation criteria. Applying the criteria to a set of potential EWIs, we find that the credit-to-GDP gap and a new indicator, the debt service ratio (DSR), consistently outperform other measures. The credit-to-GDP gap is the best indicator at longer horizons, whereas the DSR dominates at shorter horizons.

JEL classification: C40, G01
Keywords: EWIs, ROC, area under the curve, macroprudential policy


Excerpts:

In the empirical part of the paper, we apply our approach to assess the performance of 10 different EWIs. We mainly look at the EWIs individually, but at the end of the paper we also consider how to combine them. Our sample consists of 26 economies, covering quarterly time series starting in 1980. The set of potential EWIs includes more established indicators such as real credit growth, the credit-to- GDP gap, growth rates and gaps of property prices and equity prices (eg Drehmann et al (2011)) as well as the non-core liability ratio proposed by Hahm et al (2012).  We also test two new measures: a country’s history of financial crises and the debt service ratio (DSR). The DSR was first suggested in this context by Drehmann and Juselius (2012) and is defined as the proportion of interest payments and mandatory repayments of principal to income. An important data-related innovation of our analysis is that we use total credit to the private non-financial sector obtained from a new BIS database (Dembiermont et al (2013)).

We find that the credit-to-GDP gap and the DSR are the best performing EWIs in terms of our evaluation criteria. Their forecasting abilities dominate those of the other EWIs at all policy-relevant horizons. In addition, these two variables satisfy our criteria pertaining to the stability and interpretability of the signals. As the credit-to- GDP gap reflects the build-up of leverage of private sector borrowers and the DSR captures incipient liquidity constraints, their timing is somewhat different. While the credit-to-GDP gap performs consistently well, even over horizons of up to five years ahead of crises, the DSR becomes very precise two years ahead of crises. Using and combining the information of both indicators is therefore ideal from a policy perspective. Of the remaining indicators, only the non-core liability ratio fulfils our statistical criteria. But its AUC is always statistically smaller than the AUC of either the credit-to-GDP gap or the DSR. These results are robust with respect to different aspects of the estimation, such as the particular sample or the specific crisis classification used.

Recovery of financial market infrastructures - consultative report

Recovery of financial market infrastructures - consultative report
BIS, Aug 2013
www.bis.org/publ/cpss109.htm

The Committee on Payment and Settlement Systems (CPSS) and the International Organization of Securities Commissions (IOSCO) have published for public comment a consultative report on the Recovery of financial market infrastructures.

The report provides guidance to financial market infrastructures such as CCPs on how to develop plans to enable them to recover from threats to their viability and financial strength that might prevent them from continuing to provide critical services to their participants and the markets they serve. It also provides guidance to relevant authorities in carrying out their responsibilities associated with the development and implementation of recovery plans and tools.

The report has been produced in response to comments received on the July 2012 CPSS-IOSCO report on Recovery and resolution of financial market infrastructures that requested more guidance on what recovery tools would be appropriate for FMIs.

The report supplements the CPSS-IOSCO Principles for financial market infrastructures (PFMI) , the international standards for financial market infrastructures (FMIs) published in April 2012. It provides guidance on how FMIs can observe the requirements in the PFMI that they have effective recovery plans. It does not itself create additional standards for FMIs. The report is also consistent with the Financial Stability Board's Key attributes of effective resolution regimes for financial institutions, published in October 2011 and which also covers the importance of recovery planning. Aspects of the consultation report concerning FMI resolution have been included in a new draft annex to the FSB Key attributes and will be included in a forthcoming assessment methodology for the Key attributes.

Financial market infrastructures (FMIs), which include payments systems, securities settlement systems, central securities depositories, central counterparties and trade repositories, play an essential role in the global financial system. The disorderly failure of an FMI could lead to severe systemic disruption if it caused markets to cease to operate effectively.

 Published with the report is a cover note that lists specific issues on which the committees seek comments during the public consultation period. Comments on the report are invited from all interested parties and should be sent by 11 October 2013 to both the CPSS secretariat (cpss@bis.org) and the IOSCO secretariat (fmirecovery@iosco.org). The comments will be published on the websites of the BIS and IOSCO unless commentators have requested otherwise.

• Full report (32 pages, 244 kb)
• Cover note (2 pages, 37 kb)

Views from Japan: Nuclear Weapons

Views from Japan: Nuclear Weapons

Questions sent to a Japanese citizen:

konnichiwa, dear [xxx]-san

I was reading the book "Strategy in the Second Nuclear Age: Power, Ambition, and the Ultimate Weapon" by Toshi Yoshihara and James R. Holmes (Editors), and there is a chapter on Thinking About the Unthinkable - Tokyo's Nuclear Option

We'd like to publish a post and would like:

1  to have arguments in favor and against (specially in favor, since we never see them published) such nuclear option, made by Japanese politicians;
2  to have your opinion on this.

[...]

Thank you very much, sir.

[signature removed]


---
Answer (edited):
konnichiwa,

how are you going? it's been incredibly hot these days... I almost start melting.

sorry, I haven't read the book. so i'm not very sure my opinions match to your point. anyway, I give you what I see and think. is it about nuclear weapons? (or total nuclear power?) i refer nuke weapons for this moment. please let me know if you need more about nuclear in japan.

1.it seems 3 big opinions among politicians (and citizens too) :

#1. it's better to have nu-bombs. because we are facing dangers of Chinese and North Korean nukes. it's the only way to be against nukes.

#2. let's talk and think about nuclear weapons to possess seriously now. it's actually been the biggest taboo in japan even only to talk about the option because of our experiences of Hiroshima, Nagasaki and recently Fukushima which are big trauma for us. I can call it "nuclear allergy". but we are indeed surrounded and threatened by nu-weapons of China and Korea now. it's the time to think about it... and even just the debates will be able to restrain China and Korea (they know our technology is good enough to make nu-weapons immediately if we try).

#3. nobody should even talk or think about it. all nuclear in the world just should be thrown away and banned. because we've learnt from the past



#2 seems the most major opinion, #1 is a sort of extreme... #3 is mainly supported by liberal people. extreme on the other side.


2. my opinion: I used to think like #3, but slightly have changed to #2. I'm sure #3 is right, but too much ideal. no matter how japan says this to the world, no countries will abandon them (at least near future).

japanese people's been used to live in peace by American forces, however people's started to realize no peace for free. i think we are on the way to "normal" country.

please don't understand me, I believe almost all of people don't want to have nu-weapons in real, people's just getting more serious to think about what our country is and what is the best for us.


I wish I got points you need. mail me if you have something not sure.

best regards(^_^)/

[signature removed]

HEAT! A Bank Health Assessment Tool. By Li L. Ong, Phakawa Jeasakul and Sarah Kwoh

HEAT! A Bank Health Assessment Tool. By Li L. Ong, Phakawa Jeasakul and Sarah Kwoh
IMF Working Paper No. 13/177
August 09, 2013
http://www.imf.org/external/pubs/cat/longres.aspx?sk=40872.0

Summary: Developments during the global financial crisis have highlighted the importance of differentiating across financial systems and institutions. Assessments of financial stability have increasingly considered the characteristics of individual banks within a financial system, as well as those with significant international reach, to identify vulnerabilities and inform policy decisions. This paper proposes a simple measure of bank soundness, the Bank Health Index (BHI), to facilitate preliminary analyses of individual financial institutions relative to their peers. The evidence suggests that the BHI is useful for a first-pass identification of bank soundness conditions. Automated spreadsheet templates of the bank Health Assessment Tool (HEAT!) are provided for users with access to the BankScope, Bloomberg and/or SNL database(s).

Introduction

The impact of the global financial crisis on individual banking systems and banks has highlighted the importance of differentiating across countries and among financial institutions. Traditionally, macroprudential surveillance of the financial sector has complemented the microprudential oversight of individual financial institutions by supervisors (The World Bank/IMF, 2005). However, the growing systemic importance of these institutions, notably banks, and their potential impact on policy and the public purse have underscored the need to extend any macroprudential analysis to include individual systemic institutions as well.

The depth and protracted nature of the current crisis have revealed vast divergences in the resilience of individual banks. This is, in large part, attributable to banks’ business models and management quality, sometimes mitigated by the various pre-emptive or supportive policy actions taken by country authorities. In many cases, specific knowledge of characteristics underpinning individual banks’ financial health has been crucial for identifying vulnerabilities and informing policy decisions for crisis prevention or management purposes. Looking ahead, lessons learned from this crisis suggest that more granular, bank-specific analysis will become increasingly more important in that it could:

• enable early identification of vulnerabilities in global systemically important banks (G-SIBs) and domestic systemically important banks (D-SIBs), which could help prevent widespread spillovers from any realization of tail risks if appropriate mitigation actions are put in place;

• inform system-wide reform strategies by differentiating the core, healthy banks from the very weak ones that require significant restructuring or even resolution, so that the strong banks are not burdened with a “one size fits all” solution for an entire system; and 

• inform restructuring decisions, such as mergers and acquisitions, recapitalization and/or liquidity support, by highlighting banks’ weaknesses or identifying the weak banks.

To this end, this paper proposes a simple, broadly-based measure of bank soundness that would allow preliminary, first-pass analysis of the health of individual financial institutions and, consequently, financial systems. We develop a Bank Health Index (BHI) and provide automated spreadsheet templates, the bank Health Assessment Tool (HEAT!), to facilitate the exercise. We show that the BHI, albeit simple, can be useful for initial identification of relative bank soundness and is also able to identify more specific areas of vulnerability.  However, we also note its limitations and acknowledge that such analyses would need to be complemented by more rigorous and robust quantitative (e.g., stress tests) and qualitative (e.g., supervisory and regulatory frameworks) assessments.


Concluding Remarks

The global financial crisis has underscored the importance of individual banks to the stability of their own or even the global financial system. Thus, analyses of the health of individual banks, especially the systemic ones, are becoming a matter of course for surveillance purposes and for crisis management decisions. We have developed the BHI to enable simple, preliminary analyses of individual banks in financial systems around the world and introduced an Excel-based spreadsheet tool (HEAT!) to facilitate its calculation and presentation. Our back-test, based on actual developments in the Spanish banking system, suggests that the BHI is able to accurately differentiate banks according to their financial soundness.

That said, there are strong caveats attached to the use of the BHI and its components. Any representation about the health of individual banks using this method should be made with care. Specifically, the Index is an aggregation of ratios, so the performance of the individual components should also be considered in any analysis. Moreover, the associated z-scores do not provide an absolute assessment of the health of banks, but rather, their relative health within a sample, which means that the selection of the sample itself matters. The differences in banks’ business models at any point in time and their changing nature over time, as well as the definitions used in calculating the constituent components of the BHI should also be taken into account when interpreting the results. Last but not least, it is also important for the user to be familiar with the peculiarities of any banking system being analyzed and to ensure that any assessment is supplemented with other quantitative and qualitative information.

Nearly 450 Innovative Medicines in Development for Neurological Disorders

Neurological Disorders
innovation.org
July 30, 2013
www.innovation.org/index.cfm/FutureofInnovation/NewMedicinesinDevelopment/Neurological_Disorders

Nearly 450 Innovative Medicines in Development for Neurological Disorders

Neurological disorders—such as epilepsy, multiple sclerosis, Alzheimer’s disease, and Parkinson’s disease—inflict great pain and suffering on patients and their families, and every year cost the U.S. economy billions of dollars. However, a growing understanding of how neurological disorders work at a genetic and molecular level has spurred improvements in treatment for many of these diseases.

America’s biopharmaceutical research companies are developing 444 medicines to prevent and treat neurological disorders, according to a new report released by the Pharmaceutical Research and Manufacturers of America (PhRMA). 

The report demonstrates the wide range of medicines in development for the more than 600 neurological disorders that affect millions of Americans each year. These medicines are all currently in clinical trials or awaiting Food & Drug Administration (FDA) review. They include 82 for Alzheimer’s disease, 82 for pain, 62 for brain tumors, 38 for multiple sclerosis, 28 for epilepsy and seizures, 27 for Parkinson’s disease, and 25 for headache.

Many of the potential medicines use cutting-edge technologies and new scientific approaches. For example:

• A medicine that prompts the immune system to protect neurons affected by amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig's disease
• A gene therapy for the treatment of Alzheimer’s disease
• A gene therapy to reverse the effects of Parkinson’s disease

These new medicines promise to continue the already remarkable progress against neurological disorders and to raise the quality of life for patients suffering from these diseases and their families. Read more about selected medicines in development for neurological disorders.

Alzheimer's Disease

Every 68 seconds someone in America develops Alzheimer’s disease, according to the Alzheimer’s Association, and by 2050 it could be every 33 seconds, or nearly a million new cases per year. Disease-modifying treatments currently in development could delay the onset of the disease by five years, and result in 50 percent fewer patients by 2050.

There are also potential cost savings offered by innovative disease-modifying treatments. As the 6th leading cause of death in the United States and one of the most common neurological disorders, Alzheimer’s disease currently costs society approximately $203 billion. This number could increase to $1.2 trillion by 2050; however, delaying the onset of the disease by five years could reduce the cost of care of Alzheimer’s patients in 2050 by nearly $450 billion.

Additional Resources

• New Medicines in Development for Neurological Disorders Report
• Selected Medicines in Development for Neurological Disorders
• Alzheimer’s disease overview page