Knowledge that Transforms

The decoupling of US short and long interest rates has been a distinctive feature of the 2000s. We employ recent advances in panel econometrics to document this disconnect for industrial countries and link it to a global latent factor in long term rates. We investigate whether international forces, such as global inflation, global output, or the global savings glut may be behind this global latent factor. The savings glut is the most likely contender, suggesting that reserve accumulation and a search for yield from emerging markets has lowered long rates internationally, driving a wedge between domestic short and long rates.

This paper has three objectives. First, using a richer and more comprehensive set of IMF-related news than previous studies, we examine the impact of IMF-related news on both financial and real stock sector returns in Indonesia during the Asian crisis. Second, we draw lessons about financial and real sectoral patterns of adjustment in crisis countries, including whether and how IMF programs facilitate this adjustment. Third, we explore the interplay between IMF actions in crisis countries and the actions and responses of local authorities. To do so, not only do we account for the impact of news regarding IMF policy actions but also the government’s reaction to them and willingness to implement such policies, and the public sentiment about the implemented IMF programs and government policies. We discuss the policy implications of the findings.

We propose new surprise measures to characterise two important dimensions of monetary policy. Our measures outperform the traditional monetary shocks in explaining variation of interest rates in the event-study framework. We also study the extent to which the ECB caused jumps in euro area interest rates. The new surprises still prevail upon the traditional ones. Jumps play a great role in the variation of interest rates and the ECB induced several jumps with its decisions, but its predictability has improved over time. We find that, although the surprise measures become somewhat distorted due to money market tensions during the financial turmoil, our model still provides an interesting insight into interest rate behaviour throughout the crisis.

We examine the impact of ownership on income diversification and risk for Indian banks over the period 2001–2009. We investigate both the determinants of non-interest income and the impact of diversification on various profitability and insolvency risk measures for public sector, private domestic, and foreign banks. We document that ownership does matter in the pursuit of non-interest income. Relative to private domestic banks, public sector banks earn significantly less fee-income, while foreign banks report higher fee income. Public sector banks with higher levels of governmental ownership are significantly less likely to pursue non-interest income sources. Fee-based income significantly reduces risk, measured by profitability variables, for public sector banks. Default risk is also reduced for these banks. From a regulatory perspective, it appears that diversification benefits India’s public sector banks. Our research has implications for the changes in the risk profile for banks in emerging banking markets pursuing non-interest revenue sources.

This article explores the role of the realized return distribution in the formation of the observed implied volatility smile using the framework of an adaptive expectations model. According to this framework investors update their expectations of future events, through which options are priced, by incorporating information from the underlying asset traded in the spot market. Our study is conducted at the level of cumulants which provide a complete description of investors expectations and can be considered as largely non-parametric with a minimal set of assumptions for the stochastic process that drives asset returns. The empirical results, based on the S&P 500 index, support the significance of the realized distribution in the formation of the implied volatility smile.

We investigate the relationships between the severity of operational loss events reported in the banking sector and various regulatory, legal, geographical, and economic indicators. Based on a data sample of over 57,000 losses incurred in more than 130 countries reported by the Operational Riskdata eXchange (ORX) consortium, we identify the most relevant exposure indicators for losses in four Basel II event categories: Internal Fraud; External Fraud; Employment Practices and Workplace Safety; and Clients, Products and Business Practices. We find evidence of significant correlations between Internal Fraud and constraints on executive power and the prevalence of insider trading. Clients, Products and Business Practices losses are significantly related to securities and shareholder protection laws, restrictions on banking activity, supervisory power, and the prevalence of insider trading. Other event types are sensitive to per-capita GDP and a governance index.

I bridge the current pricing kernel framework with the early partial-moment pricing models of the beta framework, thereby reconciling and clarifying these bodies of literature. I argue for the inclusion of powers of min and max functions within a generalized kernel, and form a generalized beta model. Polynomial kernels and the kernel underpinning the partial-moment analogue of the Sharpe-Lintner CAPM are nested. I derive the partial-moment analogue to the Black CAPM, thus completing a theoretical parallelism, and compare the kernel-implied and canonical risk-neutral probabilities. A new model involving both lower and upper partial-moments, accommodating various kernel shapes present in the literature, is developed in the context of preference regularity conditions.

Joint ownership of assets by two partners can have an adverse effect on the incentives to invest and can result in unstable and inefficient organizational structures. Control sharing, however, plays an important role in economic, political, and social institutions. There is scarce empirical evidence on the benefits of joint ownership in corporate finance. We analyze acquisitions of corporate assets by joint ventures to empirically ascertain the value of joint ownership in economic activities. The results indicate that firms experience significantly larger returns in joint acquisitions than in full-control acquisitions and that this difference is restricted to the sample of firms in which both partners share equal ownership in the target. These findings suggest that monitoring in joint ownership structures ameliorates the possibility of value-destroying corporate decisions.

This paper shows how main bank rent extraction affects corporate decisions about investment and financing during financial regulatory reform. Our model predicts that limited loanable funds can initially contain main bank controlled overinvestment, even when new equity is available to the firm. Abundant funds facilitate overinvestment to the detriment of firm profitability. A shift of control rights back to the firm due to financial deregulation produces an “equity for upside potential and bank debt for downside risk” bias against the banks. A stock market and real estate boom in Japan made it harder than ever for the banks to diversify risk. The insights from this analysis help explain why Japan’s main bank system was beneficial in the (capital constrained) postwar period but became harmful during the (capital abundant and even bubbly) 1980s, and why the adverse shocks of the post-deregulation 1990s had such severe effects on the banking system.

This article presents a modification of Merton’s (1976) ruin option pricing model to estimate the implied probability of default from stock and option market prices. To test the model, we analyze all global financial firms with traded options in the US and focus on the subprime mortgage crisis period. We compare the performance of the implied probability of default from our model to the expected default frequencies based on the Moody’s KMV model and agency credit ratings by constructing cumulative accuracy profiles (CAP) and the receiver operating characteristic (ROC). We find that the probability of default estimates from our model are equal or superior to other credit risk measures studied based on CAP and ROC. In particular, during the subprime crisis our model surpassed credit ratings and matched or exceeded KMV in anticipating the magnitude of the crisis. We have also found some initial evidence that adding off-balance-sheet derivatives exposure improves the performance of the KMV model.