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.
The staged financing hypothesis of Mayers [Mayers, D., 1998. Why firms issue convertible bonds: The matching of financial and real investment options. Journal of Financial Economics 47, 83–102] predicts that investment and financing activity will increase following in the money convertible bond calls. The prediction for out of the money convertible calls is different: no increase is expected. We study the rate of both corporate investment and external financing around forced conversions using benchmarks that are analogous to those recommended by Barber and Lyon [Barber, B., Lyon, J., 1996. Detecting abnormal operating performance: The empirical power and specification of test statistics. Journal of Financial Economics 41, 359–400]. We also examine the cross-section of changes in investment and financing activity. Conversion-forcing firms exhibit an increase in both capital expenditures and debt financing around the year of the convertible bond call; however, the same result holds for the sample firms that conducted out-of-the-money convertible calls. Further, there is no relation between changes in investment activity and changes in debt issuance at the firm level. The evidence is inconsistent with the notion that forced conversions serve as a catalyst for staged financing and investment.
This paper examines the responsiveness of external bank liabilities to deposit insurance policies for a sample of developed countries. External bank liabilities held by non-banks are found to increase after the introduction of explicit deposit insurance. Deposit insurance schemes tend to exclude interbank deposits from coverage and the response of external interbank liabilities to deposit insurance appears to be varied. Neither external non-bank nor external interbank liabilities are found to be materially affected by deposit insurance design. This suggests that international competition in the area of deposit insurance design – as possible under the EU deposit insurance directive of 1994 – would be fruitless.
When identifying optimal portfolios, practitioners often impose a drawdown constraint. This constraint is even explicit in some money management contracts such as the one recently involving Merrill Lynch’ management of Unilever’s pension fund. In this setting, we provide a characterization of optimal portfolios using mean–variance analysis. In the absence of a benchmark, we find that while the constraint typically decreases the optimal portfolio’s standard deviation, the constrained optimal portfolio can be notably mean–variance inefficient. In the presence of a benchmark such as in the Merrill Lynch–Unilever contract, we find that the constraint increases the optimal portfolio’s standard deviation and tracking error volatility. Thus, the constraint negatively affects a portfolio manager’s ability to track a benchmark.
Using ‘American depository receipt’ (ADR) data on various countries, this paper sets out to investigate the relationship between investor protection and firm liquidity. Since weak investor protection leads to greater expropriation by managers, and thus greater asymmetric information costs, liquidity providers will incur relatively higher costs and will therefore offer higher bid–ask spreads. The empirical results demonstrate that the liquidity costs of poor investor protection were more significant during the period of the Asian financial crisis when the expected agency costs were particularly severe. This issue is further analyzed by investigating whether there is any evidence of increases in the vulnerability of ADRs of firms operating in countries with relatively poor investor protection mechanisms during periods of financial crisis.
This paper provides a comprehensive analysis of the short-term interest-rate dynamics based on three different data sets and two flexible parametric specifications. The significance of nonlinearity in the short-rate drift declines with increasing maturity for the interest-rate series used in the study. Using a flexible diffusion specification and incorporating GARCH volatility and non-normal innovation reduce the need for a nonlinear drift specification. Finally, the nonlinear drift specification performs better than the linear drift specification only when the short-term interest-rate levels reach historical highs.
This paper analyzes the systematic relationship between the stock market valuations, the nominal GDPs and the interest rates of six Asian countries, using not “single equation regression”, but an alternative methodology based on complete, multidirectional, least squares projections in the tradition of Frisch (1934). We compare the results with the spectral analysis of the information matrices and determine the noise levels. The objective is to extract the multidimensional economic system structures from the noisy empirical observations. This complete methodology sharply contrasts with the incomplete methodology of Fama [Fama, E.F., 1990. Stock returns, expected returns, and real activity. Journal of Finance 45, 1089–1108] and Schwert [Schwert, G.W., 1990. Stock returns and real activity: A century of evidence. Journal of Finance 45, 1237–1257], etc., who presume planal relations, fit them to the multidimensional data by only one prejudiced unidirectional projection, thereby ignoring between 75% and 92% of the available covariance information and not publishing all possible model projections. The results in this paper show that the analyzed countries are better analyzed using such complete multidirectional LS projections, even though the analysis is combinatorially much more complex. All six Asian financial-economic systems are high data noise environments, in which it is very difficult to separate the systematic signals from the noise. Because of these high noise levels, spectral analysis is very unreliable. We identify Taiwan’s stock market, economy and financial market to be rationally coherent. In contrast, Malaysia, Singapore, Philippines and Indonesia show only partially coherent systems, while no coherent system can be identified among Japan’s data.