Knowledge that Transforms

ABSTRACT We develop a multiple asset rational expectations model of asset prices to explain financial market contagion. Although the model allows contagion through several channels, our focus is on contagion through cross‐market rebalancing. Through this channel, investors transmit idiosyncratic shocks from one market to others by adjusting their portfolios' exposures to shared macroeconomic risks. The pattern and severity of financial contagion depends on markets' sensitivities to shared macroeconomic risk factors, and on the amount of information asymmetry in each market. The model can generate contagion in the absence of news, as well as between markets that do not directly share macroeconomic risks.

ABSTRACT We use the move of Israeli stocks from call auction trading to continuous trading to show that investors have a preference for stocks that trade continuously. When large stocks move from call auction to continuous trading, the small stocks that still trade by call auction experience a significant loss in volume relative to the overall market volume. As small stocks move to continuous trading, they experience an increase in volume and positive abnormal returns because of the associated increase in liquidity. Overall, though, a move to continuous trading increases the volume of large stocks relative to small stocks.

ABSTRACT The stochastic discount factor (SDF) method provides a unified general framework for econometric analysis of asset‐pricing models. There have been concerns that, compared to the classical beta method, the generality of the SDF method comes at the cost of efficiency in parameter estimation and power in specification tests. We establish the correct framework for comparing the two methods and show that the SDF method is as efficient as the beta method for estimating risk premiums. Also, the specification test based on the SDF method is as powerful as the one based on the beta method.

We examine whether firms belonging to Korean business groups (chaebols) benefit from acquisitions they make or whether such acquisitions provide a way for controlling shareholders to increase their wealth by increasing the value of other group firms (tunneling). We find that when a chaebol‐affiliated firm makes an acquisition, its stock price on average falls. While minority shareholders of a chaebol‐affiliated firm making an acquisition lose, the controlling shareholder of that firm on average benefits because the acquisition enhances the value of other firms in the group. This evidence is consistent with the tunneling hypothesis.

ABSTRACT Prior literature finds that diversified firms sell at a discount relative to the sum of the imputed values of their business segments. We explore this documented discount and argue that it stems from risk‐reducing effects of corporate diversification. Consistent with this risk‐reduction hypothesis, we find that (a) shareholder losses in diversification are a function of firm leverage, (b) all equity firms do not exhibit a diversification discount, and (c) using book values of debt to compute excess value creates a downward bias for diversified firms. Overall, the results indicate that diversification is insignificantly related to excess firm value.

This paper looks at internal capital markets in financial conglomerates by comparing the responses of small subsidiary and independent banks to monetary policy. I find that internal capital markets in financial conglomerates relax the credit constraints faced by smaller bank affiliates. Further analysis indicates that those markets lessen the impact of Fed policies on bank lending activity. The paper also examines the role of internal capital markets in influencing the investment allocation process of those conglomerates. My findings suggest that frictions between conglomerate headquarters and external capital markets are at the root of investment inefficiencies generated by internal capital markets.

ABSTRACT We propose using the price range in the estimation of stochastic volatility models. We show theoretically, numerically, and empirically that range‐based volatility proxies are not only highly efficient, but also approximately Gaussian and robust to microstructure noise. Hence range‐based Gaussian quasi‐maximum likelihood estimation produces highly efficient estimates of stochastic volatility models and extractions of latent volatility. We use our method to examine the dynamics of daily exchange rate volatility and find the evidence points strongly toward two‐factor models with one highly persistent factor and one quickly mean‐reverting factor.

ABSTRACT This paper provides an analysis of the nature and evolution of a dealer market for Nasdaq stocks. Despite size differences in sample stocks, there is a surprising consistency to their trading. One dealer tends to dominate trading in a stock. Markets are concentrated and spreads are increasing in the volume and market share of the dominant dealer. Entry and exit are ubiquitous. Exiting dealers are those with very low profits and trading volume. Entering market makers fail to capture a meaningful share of trading or profits. Thus, free entry does little to improve the competitive nature of the market as entering dealers have little impact. We find, however, that for small stocks, the Nasdaq dealer market is being more competitive than the specialist market.

ABSTRACT This study examines the determinants of mutual fund mergers and their subsequent wealth impact on shareholders of target and acquiring funds. Results indicate significant improvements in postmerger performance and a reduction in expense ratios for target fund shareholders. In contrast, acquiring fund shareholders experience a significant deterioration in postmerger performance. The net asset flows continue to remain negative for the combined fund in the year following the merger. The likelihood of a fund merger is inversely related to fund size for both within‐and across‐family mutual fund mergers. However, poor past performance is a significant determinant for only within‐family mergers.

ABSTRACT This paper empirically examines patents for financial formulas and methods, whose patentability was recently confirmed in the litigation between State Street Bank and Trust and Signature Financial Group. The number of such filings and awards has been accelerating. Patent filings by academics have been very infrequent, which appears to be a consequence of a lack of awareness or interest on the part of faculty members, rather than any fundamental unsuitability of their research for patenting. The failure to cite academic research in this area appears to be problematic and may reflect patent examiners' limited exposure to finance research and patents.