Implications of bank ownership for the credit channel of monetary policy transmission: Evidence from India

Using bank-level data from India, we examine the impact of ownership on the reaction of banks to monetary policy, and also test whether the reaction of different types of banks to monetary policy changes is different in easy and tight policy regimes. Our results suggest that there are considerable differences in the reactions of different types of banks to monetary policy initiatives of the central bank, and that the bank lending channel of monetary policy is likely to be much more effective in a tight money period than in an easy money period. We also find differences in impact of monetary policy changes on less risky short-term and more risky medium-term lending. We discuss the policy implications of the findings.     

Interest on bank reserves and optimal sweeping

A key rationale offered by the Federal Reserve for the payment of interest on reserves was to remove the incentive for banks to operate sweep accounts. Sweeping shifts funds from transactions deposits subject to reserve requirements to non-reservable deposits. This paper extends a conventional banking model to analyze sweeping behavior. Sweeping responds positively to increases in bank loan rates and reserve ratios and negatively to increases in the interest rate on reserves or exogenous increases in bank equity. Sweeping generates greater responsiveness in lending to changes in loan rates or the interest rate on reserves and lower responsiveness to changes in reserve ratios or equity than in its absence. Empirical analysis of an explicit condition that we derive suggests that, with an unchanged reserve requirement, the Fed could eliminate sweeping by setting the interest rate on reserves to no less than approximately 4% points below the market loan rate.     

Testing for rational bubbles in the presence of structural breaks: Evidence from nonstationary panels

This paper presents new results on the rational bubbles hypothesis for a panel of 18 OECD countries using the model developed by Campbell (2000). We provide an analysis of international data that exploits increased power deriving from the panel unit root and cointegration methodology, together with the flexibility of allowing explicitly for multiple endogenous structural breaks in the individual series. Differently from the time series methodology, the panel data approach allows for a global analysis of the financial crashes that are related to rational bubbles. We find strong evidence in favor of bubbles phenomena.     

The pernicious effects of contaminated data in risk management

Banks hold capital to guard against unexpected surges in losses and long freezes in financial markets. The minimum level of capital is set by banking regulators as a function of the banks’ own estimates of their risk exposures. As a result, a great challenge for both banks and regulators is to validate internal risk models. We show that a large fraction of US and international banks uses contaminated data when testing their models. In particular, most banks validate their market risk model using profit-and-loss (P/L) data that include fees and commissions and intraday trading revenues. This practice is inconsistent with the definition of the employed market risk measure. Using both bank data and simulations, we find that data contamination has dramatic implications for model validation and can lead to the acceptance of misspecified risk models. Moreover, our estimates suggest that the use of contaminated data can significantly reduce (market-risk induced) regulatory capital.     

The pricing dynamics of cross-listed securities: The case of Chinese A- and H-shares

We develop a non-linear Markov error correction approach to examine the general co-integration relation between the H- and A-prices of cross-listed Chinese stock issuers across the period January 1999 to March 2009. We unravel three important dimensions of this relation. These pertain to (i) the long-run expectation of the H- (to A-price) discount; (ii) the level of short-run co-movement in prices; and (iii) the magnitude of error corrections. Findings point to significant improvements in all three areas. Policy and corporate governance change appears to be the principal force driving the efficiency gains. Weakening informational asymmetries underlie much of the change in the markets’ relative pricing. In contrast, sentiment effects strongly underpin the contemporaneous response and error correction adjustments. Finally, the escalating Global Financial Crisis of 2008 appears to have not only bolstered the A- and H-markets’ short-term pricing dynamic but also temporarily increased the long-term H-share discount.     

Explaining bank market-to-book ratios: Evidence from 2006 to 2009

This paper examines the market-price to book-value ratio for 6604 bank stock observations from December 31, 2006 through June 30, 2009. We relate each bank’s market-price to book-value ratio to several fundamental ratios and whether the bank took funds from the US Treasury under the Troubled Asset Relief Program (TARP). The results of this study show that banks who took TARP funds have lower market-price to book-value ratios. In addition, lower relative costs, higher non-interest income, and lower assets in non-accrual or foreclosed status are associated with higher market-price to book-value ratios while controlling for size and other bank attributes.     

The 2008 short sale ban: Liquidity, dispersion of opinion, and the cross-section of returns of US financial stocks

This study examines the cross-sectional impact of the 2008 short sale ban on the returns of US financial stocks. Motivated by the large cross-sectional variation in the extent to which banned stocks suffer an illiquidity shock, we hypothesize that stocks with larger liquidity declines are associated with poorer contemporaneous stock returns. The evidence supports this hypothesis and suggests that this effect is stronger for more liquid stocks, as predicted by Amihud and Mendelson (1986). Moreover, consistent with Miller’s (1977) model, we report a valuation reversal whereby stocks with higher abnormal returns at the onset of the ban have lower abnormal returns at its removal. Our findings are robust when we control for firms most affected by TARP, include non-banned matched firms, and compare banned firms’ stock returns with their bond returns. From a policy standpoint, the ban reduced valuations, ceteris paribus, of the stocks that were hardest hit by illiquidity.     

Does more information in stock price lead to greater or smaller idiosyncratic return volatility?

We investigate the relation between price informativeness and idiosyncratic return volatility in a multi-asset, multi-period noisy rational expectations equilibrium. We show that the relation between price informativeness and idiosyncratic return volatility is either U-shaped or negative. Using several price informativeness measures, we empirically document a U-shaped relation between price informativeness and idiosyncratic return volatility. Our study therefore reconciles the opposing views in the following two strands of literature: (1) the growing body of research showing that firms with more informative stock prices have greater idiosyncratic return volatility, and (2) the studies arguing that more information in price reduces idiosyncratic return volatility.     

Ownership, control, and pyramids in Spanish commercial banks

Using the law and finance approach we analyze how the ultimate ownership and control structure influences the performance of Spanish commercial banks during the period 1996-2004. Our evidence shows that 96% of Spanish commercial banks have an ultimate controlling owner. Also, we observe that whenever there is a gap between the ultimate controlling owner’s cash flow and control rights, than the bigger the gap, the poorer the bank’s performance. We find that whenever there is no difference between the ultimate controlling owner’s cash flow and control rights, there is a non-monotonic relation between ownership concentration and the bank’s performance.     

Consumption-based CAPM models: International evidence

We examine the performance of several types of the consumption-based CAPM (C-CAPM) models to explore if consumption factors matter for determining excess returns across 17 MSCI country indexes. While the classic world C-CAPM does exhibit some power in explaining cross-sectional variations of expected excess returns, the model seems to require an implausibly large coefficient of risk aversion. The more sophisticated models including the heterogeneous C-CAPM, the world surplus consumption and the habit-formation models provide more reasonable estimates and add substantial explanatory power for the variation in the cross section of excess stock returns. Our results suggest that country-specific consumption risk is not fully diversified thus implying that stock returns are related to idiosyncratic consumption risk.