To make high-quality research more accessible and easier to explore.

Fields:
8 results ✕ Clear filters

Bank fragility, “money under the mattress”, and long-run growth: US evidence from the “perfect” Panic of 1893

Journal of Banking & Finance 2009 33(12), 2185-2198
This paper examines how the US financial crisis of 1893 affected state output growth between 1900 and 1930. The results indicate that a 1% increase in bank instability reduced output growth by 2–5%. A comparison of Nebraska, which had one of the highest bank failure rates, with West Virginia, which did not experience a single bank failure, reveals that disintermediation affected growth through a portfolio change among savers: people simply stopped trusting banks. Time series evidence from newspapers indicates that articles containing the words “money hidden” significantly increase after banking crises, then slowly die out.

Does the market dole out collective punishment? An empirical analysis of industry, geography, and Arthur Andersen’s reputation

Journal of Banking & Finance 2009 33(7), 1255-1265
Arthur Andersen’s reputation was tarnished following news that its Houston office had shredded documents related to the auditing of energy giant Enron. Earlier studies documented widespread spillover of the reputation effect, suggesting a strong commonality in Big 5 audit practices. We examine whether the market is more discriminating in its assessments. We focus on the roles industry specialization of auditors and the geography of clients’ audit offices play in accounting for the contagion. Our results are supportive of investors who differentiate audit practices by industry and who account for the location of the specific office where the audit work is done. We find that losses suffered by energy firms or firms located close to Houston are equivalent to approximately 90% of the aggregate abnormal losses suffered by Big 5 clients. Our evidence suggests the possibility of more localized impact of accounting scandals and supports accounting regulations targeted at individual industries.

The dynamics of the volatility skew: A Kalman filter approach

Journal of Banking & Finance 2009 33(6), 1156-1165
Much attention has been devoted to understanding and modeling the dynamics of implied volatility curves and surfaces. This is crucial for both trading, pricing and risk management of option positions. We suggest a simple, yet flexible, model, based on a discrete and linear Kalman filter updating of the volatility skew. From a risk management perspective, we assess whether this model is capable of producing good density forecasts of daily returns on a number of option portfolios. We also compare our model to the sticky-delta and the vega–gamma alternatives. We find that it clearly outperforms both alternatives, given its ability to easily account for movements of different nature in the volatility curve.

A momentum trading strategy based on the low frequency component of the exchange rate

Journal of Banking & Finance 2009 33(9), 1575-1585
In this paper, we develop a momentum trading strategy based on the low frequency trend component of the spot exchange rate. Using kernel regression and the high-pass filter of Hodrick and Prescott [Hodrick, R., Prescott, E., 1997. Post-war US business cycles: An empirical investigation. Journal of Money, Credit and Banking 29, 1–16], we recover the non-linear trend in the monthly exchange rate and use short-term momentum in this to generate buy and sell signals. The low frequency momentum trading strategy offers greater directional accuracy, higher returns and Sharpe ratios, lower maximum drawdown and less frequent trading than traditional moving average rules. Moreover, unlike traditional moving average rules, the performance of the low frequency momentum trading strategy is relatively robust across different time periods. The low frequency momentum trading strategy is also robust to the choice of smoothing parameter (in the case of the HP filter) and the distribution and bandwidth parameter (in the case of kernel regression) over a wide range of values.

The joint estimation of bank-level market power and efficiency

Journal of Banking & Finance 2009 33(10), 1842-1850
The aim of this study is to provide a methodology for the joint estimation of efficiency and market power of individual banks. The proposed method utilizes the separate implications of the new empirical industrial organization and the stochastic frontier literatures and suggests identification using the local maximum likelihood (LML) technique. Through LML, estimation of market power of individual banks becomes feasible, while a number of restrictive theoretical and empirical assumptions are relaxed. The empirical analysis is carried out on the basis of EMU bank data. Market power estimates indicate fairly competitive conduct in general; however, heterogeneity in market power estimates is substantial across banks. The latter result suggests that the practice of some banks deviates from the average fairly competitive behavior, a finding that has important policy implications. Finally, efficiency and market power present a negative relationship, which is in line with the so-called "quiet life hypothesis". © 2009 Elsevier B.V. All rights reserved.

Determinants of domestic and cross-border bank acquisitions in the European Union

Journal of Banking & Finance 2009 33(6), 1022-1032
This paper analyzes the determinants of bank acquisitions both within and across countries in the EU-25 over the period 1997–2004. Our results suggest poorly managed banks (high cost to income) and larger banks are more likely to be acquired by other banks in the same country. The probability of being a target in a cross-border deal is larger for banks that are quoted in the stock market. Finally, banks operating in more concentrated markets are less likely to be acquired by other banks in the same country but are more likely to be acquired by banks in other EU-25 countries.

Is it the weather? Comment

Journal of Banking & Finance 2009 33(3), 578-582 open access
This comment discusses some errors in a recent paper by Jacobsen and Marquering [Jacobsen, B., Marquering, W., 2008. Is it the weather? Journal of Banking and Finance 32 (4), 526–540], in which the authors challenge our previous finding that stock market returns exhibit seasonal patterns consistent with the influence of seasonal affective disorder on investor risk aversion. We find that we cannot replicate the authors’ findings, even after corresponding with them. Furthermore, we document several problems with their methodology, including misspecification of their economic model, misspecification of their econometric model, and use of inappropriate data. While we agree that seasonal affective disorder is not an explanation for all variation in equity markets, we do maintain that careful analysis leads to economically and statistically significant evidence of the effect we originally documented.

IPOs, clustering, indirect learning and filing independently

Journal of Banking & Finance 2009 33(11), 2070-2079
IPO underpricing has been attributed to valuation uncertainty, which can be at least partially resolved by the indirect learning associated with IPO clustering [Benveniste, L.M., Ljungqvist, A., Wilhelm, W.J., Yu, X.Y., 2003. Evidence of information spillovers in the production of investment banking services. Journal of Finance 58, 577–608]. We examine why firms might choose not to issue their IPOs contemporaneously with clusters of similar firms, forgoing opportunities to learn from their peers. We find that the willingness to file an IPO without the benefit of indirect learning from peer firm IPOs is directly related to insiders’ needs for portfolio diversification and the firm’s need to raise capital.