Knowledge that Transforms

This study examines the impact of forced bank mergers on the shareholders’ wealth of Malaysian banks. Forced bank mergers, which are the result of direct government intervention in the consolidation of the banking industry, are generally rare. Unlike the findings on voluntary mergers and acquisitions, our study shows that the forced merger scheme destroys economic value in aggregate and the acquiring banks tend to gain at the expense of the target banks. Further analysis shows that the contrasting forced merger finding is linked to cronyism.

This paper captures banks’ dynamic response to depositor discipline. Recognizing that the price and quantity response of uninsured deposits in the face of deteriorating fundamentals needs to be modeled as an endogenous process, we investigate how depositor discipline constrains banks’ behavior by extracting the impact of an exogenous rise in interest rates on the quantity of uninsured deposits. We find that good banks can raise uninsured deposits by raising their price, while weak banks cannot. This suggests that depositor discipline not only raises the cost of choosing a higher level of risk but also may, at very high levels of risk, effectively constrain bank managers’ behavior.

Growth-indexed bonds have been suggested as a way of reducing the procyclicality of emerging-market countries’ fiscal policies and the likelihood of costly debt crises. Investor attitude surveys suggest that pricing difficulties are seen as a considerable obstacle. In an effort to reduce such concerns, this article presents a simple way of pricing growth-indexed bonds. As a pleasant by-product, the analysis tracks the quantitative implications of an increase in the share of growth-indexed bonds in total debt, measuring the ensuing decline in the probability of default and the reduction in the spreads at which standard bonds can be issued.

This paper develops a banking-sector framework with heterogeneous loan monitoring costs. Banks are exposed to the moral hazard behavior of borrowers and endogenously choose whether to monitor their loans to eliminate this exposure. After analyzing an unregulated banking system, we examine several cases in which regulatory capital requirements bind the notional loan supplies of various subsets of banks. To gauge the impact of capital requirements, we define loan ‘quality’ in terms of either the ratio of monitored to total loans or the ratio of monitoring banks to total bank population. Under the assumption of a specific cross-sectional distribution of banks, our simulations show that the imposition of binding capital requirements on a previously unregulated banking system unambiguously increases the market loan rate and reduces aggregate lending, but has an ambiguous effect on loan ‘quality’. Nevertheless, once capital requirements are in place, the simulations indicate that regulators can contribute to higher overall loan ‘quality’ by toughening capital requirements.

Traditional data sources do not have institutional holding data on a daily basis. Because of this, most prior empirical studies of institutional herding have focused on quarterly or annual data. The problem, however, with using quarterly or annual data on institutional holdings is that these data may not reveal institutional herding if it occurs over a shorter time interval. For this study, we make use of data from the Taiwan Stock Exchange (TSE). Unlike traditional data sources, the TSE provides daily institutional holdings information. The use of this detailed data allows us to make more interesting analysis and inferences. In this study, we examine the relationship between institutional ownership changes and returns localized around analysts’ earnings forecast release events. Analysis of institutional ownership and return data around the earnings release event allows us to investigate institutional herding and feedback behavior in a different level. Our major results are as follows: (1) there exists a relation between company specific attributes and institutional herding, (2) observed changes in institutional ownership and contemporaneous return are mainly the results of inter-day price impact of herding, (3) institutional investors show evidence of being informed traders in buying but not selling.

The present paper investigates the efficiency of the Polish banking industry between 1997 and 2001. Our preferred methodology is Data Envelopment Analysis, which allows us to distinguish between cost, allocative, technical, pure technical, and scale efficiency. Additionally, we perform a number of tests to investigate whether domestic and foreign banks come from the same population. Finally, we attempt to shed light on the determinants of efficiency. Our results indicate that bank efficiency has not improved during the years analyzed. Whereas greenfield banks have achieved higher levels of efficiency than domestic banks, foreign banks that acquired domestic institutions have not succeeded in enhancing their efficiency.

This paper conducts an event study analysis of the impact of operational loss events on the market values of banks and insurance companies, using the OpVar database. We focus on financial institutions because of the increased market and regulatory scrutiny of operational losses in these industries. The analysis covers all publicly reported banking and insurance operational risk events affecting publicly traded US institutions from 1978 to 2003 that caused operational losses of at least $10 million – a total of 403 bank events and 89 insurance company events. The results reveal a strong, statistically significant negative stock price reaction to announcements of operational loss events. On average, the market value response is larger for insurers than for banks. Moreover, the market value loss significantly exceeds the amount of the operational loss reported, implying that such losses convey adverse implications about future cash flows. Losses are proportionately larger for institutions with higher Tobin’s Q ratios, implying that operational loss events are more costly in market value terms for firms with strong growth prospects.

The 1993 Japanese financial system reform allowed banks to enter the underwriting market for corporate bonds through bank-owned security subsidiaries. This paper examines empirically whether underwriting commissions and yield spreads on corporate straight bonds issued domestically fell as a result of this bank entry. The empirical results show that bank entry significantly lowers both underwriting commissions and yield spreads. Commissions charged by banks are significantly lower than those charged by investment houses. Lending and shareholding relationships between the issuer and underwriter are not important in determining commissions or yield spreads.

Financial service providers have increasingly offered customers new remote access to such services, with Internet banking being the latest example. While Internet banking has been available for years, the early adoption by customers of this technology was disappointing to most. This paper examines the demand for remote access to banking accounts by consumers and finds that when the technology is new, the traditional risk return models including variables allowing for heterogeneous risk add power in modeling the adoption decision. Perceived risks in Internet banking are seen to be responsible for some of the hesitation to adopt. Ironically, older consumers are found to be less likely to adopt Internet banking regardless of their risk tolerances. However, younger consumers are found to be early adopters only when they have relatively high levels of risk tolerance.

This paper re-examines the impact of number of trades, trade size and order imbalance on daily stock returns volatility. In contrast to prior studies, we estimate daily volatility using realized volatility obtained by summing up intraday squared returns. Consistent with the theory of quadratic variation, realized volatility estimates are shown to be less noisy than standard volatility measures such as absolute returns used in previous studies. In general, our results confirm [Jones, C.M., Kaul, G., Lipson, M.L., 1994. Transactions, volume, and volatility. Review of Financial Studies 7, 631–651] that number of trades is the dominant factor behind the volume–volatility relation. Neither trade size nor order imbalance adds significantly more explanatory power to realized volatility beyond number of trades. This finding is robust to different time periods, firm sizes and regression specifications. The implications of our results for microstructure theory are discussed.