Banks as Catalysts for Industrialization

We provide a new theory of the role of banks as catalysts for industrialization. In their influential analysis of continental European industrialization, Gerschenkron and Schumpeter argued that banks promoted the creation of new industries. We formalize this role of banks by introducing financial intermediaries into a “big push” model. We show that banks may act as catalysts for industrialization provided they are sufficiently large to mobilize a critical mass of firms and that they possess sufficient market power to make profits from coordination. The theory provides simple conditions that help explain why banks seem to play a creative role in some but not in other emerging markets. The model also shows that universal banking helps to reduce the cost of acting as catalyst. Journal of Economic Literature Classification Numbers: G21, N2, O14, O16.     

The Costs, Wealth Effects, and Determinants of International Capital Raising: Evidence from Public Yankee Bonds

This paper examines the costs, wealth effects, and determinants of international capital raising for a sample of 260 public debt issues made by non-U.S. firms in the Yankee bond market. We find that investors demand economically significant premiums on bonds issued by firms that are located in countries that do not protect investors' rights and do not have a prior history of ongoing disclosure. The results provide support for the literature that suggests better legal protections and more detailed information disclosure increases the price investors will pay for financial assets. Journal of Economic Literature Classification Numbers: F3, G1.     

Debt Structure Adjustments and Long-Run Stock Price Performance

We examine the long-run implications of debt structure adjustments using a sample of U.S. bond IPOs from 1971 to 1994. Bond IPOs result in simultaneous and pronounced changes in both debt maturity and debt ownership structures. We document that firms engaging in debt IPOs substantially underperform their size-and-book-to-market-matched benchmarks by 33.39 and 55.99% over the 3- and 5-year post-offer periods. Our results are strikingly similar to those reported for equity offers but contrast the evidence for seasoned debt offers. We find evidence that debt IPOs are timed to coincide with the market having the highest expectations concerning firms' prospects. A negative relation is documented between debt maturity and future growth opportunities. In part, the underperformance can be attributed to significantly reduced growth opportunities following the offering. Post-offer underperformance is more pronounced for (a) longer maturity issues and (b) firms that do not experience an increase in bank monitoring. Journal of Economic Literature Classification Numbers: G12, G24, G30, D82.     

Bank-Based or Market-Based Financial Systems: Which Is Better?

For over a century, economists and policymakers have debated the relative merits of bank-based versus market-based financial systems. Recent research, however, argues that classifying countries as bank- or market-based is not a very fruitful way to distinguish financial systems. This paper represents the first broad, cross-country examination of which view of financial structure is more consistent with the data. The results indicate that although overall financial development is robustly linked with economic growth, there is no support for either the bank-based or the market-based view. Journal of Economic Literature Classification Numbers: G0, K2, O4.     

Financial Architecture and Economic Performance: International Evidence

The paper examines the relation between the architecture of an economy's financial system—its degree of market orientation—and economic performance in the real sector. I find that while market-based systems outperform bank-based systems among countries with developed financial sectors, bank-based systems fare better among countries with underdeveloped financial sectors. Countries dominated by small firms grow faster in bank-based systems and those dominated by larger firms in market-based systems. The findings suggest that recent trends in financial development policies that indiscriminately prescribe market-oriented financial-system architecture to emerging and transition economies might be misguided because suitable financial architecture, in and of itself, could be a source of value. Journal of Economic Literature Classification Numbers: G1, G21, O1, 04.     

Measuring price discovery: The variance ratio, the R, and the weighted price contribution

We analyze the statistical properties of three price discovery measures: The variance ratio, the weighted price contribution (WPC), and the R² of unbiasedness regressions. We find that, if the price process is a driftless martingale, only the WPC is an unbiased estimator for the return variance explained during a time interval. For autocorrelated processes with a drift, only the R² of the unbiasedness regression is consistent, but it is biased for small samples.     

Comparison of modeling methods for Loss Given Default

We compare six modeling methods for Loss Given Default (LGD). We find that non-parametric methods (regression tree and neural network) perform better than parametric methods both in and out of sample when over-fitting is properly controlled. Among the parametric methods, fractional response regression has a slight edge over OLS regression. Performance of the transformation methods (inverse Gaussian and beta transformation) is very sensitive to ε, a small adjustment made to LGDs of 0 or 1 prior to transformation. Model fit is poor when ε is too small or too large, although the fitted LGDs have strong bi-modal distribution with very small ε. Therefore, models that produce strong bi-model pattern do not necessarily have good model fit and accurate LGD predictions. Even with an optimal ε, the performance of the transformation methods can only match that of the OLS.     

Dividend signaling under economic adversity: Evidence from the London Stock Exchange

The signaling or information content hypothesis is amongst the most prominent theories attempting to explain dividend policy decisions. However, no research has, to date, examined the information content of dividends in conjunction with generalized economic adversity. With the majority of the western economies facing the tough reality of the economic recession since late 2007–early 2008, we focus on the possibility of asymmetrical dividend signaling effects between periods of stability and economic adversity. Using data from the London Stock Exchange (LSE), where earnings and dividend news are released simultaneously, we test the dividend signaling hypothesis and the interaction of earnings and dividends under both steady and adverse economic conditions. We document positive and significant average abnormal stock price returns around the dividend/earnings announcements. We also find a significant interaction between economic conditions and the information content of dividends. After testing the dividend signaling hypothesis under both stable and recessionary economic conditions we find that dividends have less information content than earnings in periods of growth and stability, but more in periods of economic adversity.     

International transmission of information: evidence from the Euroyen and Eurodollar futures markets

This paper examines the information transmission between Japan and the US by using the Tokyo Euroyen and Chicago Eurodollar futures. These two interest rate futures markets provide a better understanding of international information transmission than stock markets, which have been shown to exhibit nonsynchronous trading and market segmentation. The results show that traders in Tokyo (Chicago) use information that is revealed overnight in Chicago (Tokyo). The bivariate EGARCH-t model provides no evidence of volatility spillovers in either direction, suggesting that the opening price rapidly reflects foreign information. The overall results support the hypothesis that the domestic market efficiently adjusts to foreign news. The results are also broadly consistent with the covered interest arbitrage effects.     

A note on the returns from minimum variance investing

Disappointed with the performance of market weighted benchmark portfolios yet skeptical about the merits of active portfolio management, investors in recent years turned to alternative index definitions. Minimum variance investing is one of these popular concepts. I show in this paper that the portfolio construction process behind minimum variance investing implicitly picks up risk-based pricing anomalies. In other words the minimum variance tends to hold low beta and low residual risk stocks. Long/short portfolios based on these characteristics have been associated in the empirical literature with risk adjusted outperformance. This paper shows that 83% of the variation of the minimum variance portfolio excess returns (relative to a capitalization weighted alternative) can be attributed to the FAMA/FRENCH factors as well as to the returns on two characteristic anomaly portfolios. All regression coefficients (factor exposures) are highly significant, stable over the estimation period and correspond remarkably well with our economic intuition. The paper also shows that a direct combination of market weighted benchmark portfolio and risk based characteristic portfolios will provide a statistically significant improvement over the indirect pickup via the minimum variance portfolio.     

Volatility and covariation of financial assets: A high-frequency analysis

Using high frequency data for the price dynamics of equities we measure the impact that market microstructure noise has on estimates of the: (i) volatility of returns; and (ii) variance–covariance matrix of n assets. We propose a Kalman-filter-based methodology that allows us to deconstruct price series into the true efficient price and the microstructure noise. This approach allows us to employ volatility estimators that achieve very low Root Mean Squared Errors (RMSEs) compared to other estimators that have been proposed to deal with market microstructure noise at high frequencies. Furthermore, this price series decomposition allows us to estimate the variance covariance matrix of n assets in a more efficient way than the methods so far proposed in the literature. We illustrate our results by calculating how microstructure noise affects portfolio decisions and calculations of the equity beta in a CAPM setting.     

Modeling and forecasting expected shortfall with the generalized asymmetric Student-t and asymmetric exponential power distributions

Financial returns typically display heavy tails and some degree of skewness, and conditional variance models with these features often outperform more limited models. The difference in performance may be especially important in estimating quantities that depend on tail features, including risk measures such as the expected shortfall. Here, using recent generalizations of the asymmetric Student-t and exponential power distributions to allow separate parameters to control skewness and the thickness of each tail, we fit daily financial return volatility and forecast expected shortfall for the S&P 500 index and a number of individual company stocks; the generalized distributions are used for the standardized innovations in a nonlinear, asymmetric GARCH-type model. The results provide evidence for the usefulness of the general distributions in improving fit and prediction of downside market risk of financial assets. Constrained versions, corresponding with distributions used in the previous literature, are also estimated in order to provide a comparison of the performance of different conditional distributions.     

The role of trading intensity estimating the implicit bid–ask spread and determining transitory effects

In this paper, we investigate the information content of trading intensity applying the Madhavan, Richardson and Roomans (1997) structural model to express trading intensity as trading momentum in duration and volume. Using both transactions and intraday data from the Helsinki Stock Exchange Limit Order Bookmarket, we find that momentum in duration and volume enhances the information effect. We reach this conclusion based on the parametric effect determined by the sign and the magnitude of the coefficients associated with the trading intensity variables, the trading effect determined by the ratio of transitory effects to permanent effects, and the economic effect determined by the size of the implicit bid–ask spread. While we find that the implicit bid–ask spread and transitory effects are decreasing toward the end of the trading day in consistency with information models in the literature, there is a surge of trades at the market close, most probably due to information uncertainty at market opening in New York.     

Testing weak form efficiency on the Toronto Stock Exchange

In order to test for weak form efficiency in the market a vast pool of individual stocks must be analyzed rather than a stock market index. In this paper, a model-based bootstrap is used to generate a series of simulated trials and a modified chart pattern recognition algorithm is applied to all stocks listed on the Toronto Stock Exchange (TSX). The number of patterns detected in the original price series is compared with the number of patterns found in the simulated series. By simulating the price path specific time dependencies present in real data are eliminated, making price changes purely random. Patterns, if consistently identified, carry information which adds value to the investment process, however, this informativeness does not guarantee profitability. Conclusions are drawn on the relative efficiency of some sectors of the economy. Although the null hypothesis of weak form efficiency on the TSX cannot be rejected, some sectors of the Canadian economy appear to be less efficient than others. In addition, pattern frequencies appear to be negatively dependent on the two moments of return distributions, variance and kurtosis.     

Hometown advantage: The effects of monitoring institution location on financial reporting discretion

We examine the impact of institutional ownership on financial reporting discretion, focusing on whether the impact varies with institutions' cost of acquiring monitoring information. Using geographic distance between the firm and the institutional investor as a proxy for the cost of acquiring monitoring information, we find that corporate managers are less likely to use financial reporting discretion in the presence of local monitoring institutions than distant monitoring institutions. We also find that the impact of monitoring institutions on financial reporting discretion varies with the costs and benefits of financial reporting discretion.     

Alternative models for hedging yield curve risk: An empirical comparison

We test alternative models of yield curve risk by hedging US Treasury bond portfolios through note/bond futures. We show that traditional implementations of models based on principal component analysis, duration vectors and key rate duration lead to high exposure to model errors and to sizable transaction costs, thus lowering the hedging quality. Also, this quality randomly varies from one model and hedging problem to the other. We show that accounting for the variance of modeling errors substantially reduces both hedging errors and transaction costs for all considered models. Additionally, it leads to much more stable weights in the hedging portfolios and – as a result – to more homogeneous hedging quality. On this basis, error-adjusted principal component analysis is found to systematically and significantly outperform alternative models.     

Stock repurchases: How firms choose between a self tender offer and an open-market program

In practice, open-market stock repurchase programs outnumber self tender offers by approximately 10–1. This evidence is puzzling given that tender offers are more efficient in disbursing free cash and in signaling undervaluation – the two main motivations suggested in the literature for repurchasing shares. We provide a theoretical model to explore this puzzle. In the model, tender offers disburse free cash quickly but induce information asymmetry and hence require a price premium. Open-market programs disburse free cash slowly, and hence do not require a price premium, but because they are slow, result in partial free cash waste. The model predicts that the likelihood that a tender offer will be chosen over an open-market program increases with the agency costs of free cash and decreases with uncertainty (risk), information asymmetry, ownership concentration, and liquidity. These predictions are generally consistent with the empirical evidence.     

The influence of governance on investment: Evidence from a hazard model

Does corporate governance affect the timing of large investment projects? Hazard model estimates suggest strong shareholder governance may deter managers from pursuing large investments. Controlling for investment opportunities, firms with good governance experience longer spells between large investments. However, in the presence of financial constraints or strong CEO incentives (high delta (δ)), we find no such timing differences. Finally, these higher investment hazard firms exhibit significantly negative long-run operating and stock performance. Overall, our findings are consistent with the notion that poor governance associates with overinvestment.     

The accuracy of OECD forecasts of the international economy: balance of payments

This paper examines the accuracy of forecasts of the international economy made by the OECD. Our large data set, comprising some 5500 pairs of forecasts and outcomes, includes one-, two-, and three-step ahead semi-annual forecasts of eight components of the balance of payments for the G7 economies over a 20-year period. There is considerable variation in the accuracy of these forecasts. Although they are generally superior to naive and time-series predictions, there are some marked exceptions particularly as the forecast horizon lengthens. Forecasting error is overwhelmingly non-systematic. However, our study reveals numerous instances of forecasts which could be improved by a simple linear correction, or by incorporating information contained in known, recent forecast errors. The OECD's forecasts of services and private transfers, and official transfers are cause for particular concern: the accuracy of these forecasts is low, often below that of corresponding time-series forecasts, and rationality tests indicate that they are most prone to inefficiency and inconsistency.