Catálogo de publicaciones - libros

Along with globalization, merger and acquisition has become not only a method of external corporate growth, but also a strategic choice of the firm enabling further strengthening of core competence. The megamergers in the last decades have also brought about structural changes in some industries, and attracted international attention. A number of motivations for merger and acquisition are proposed in the literature, mostly drawn directly from finance theory but with some inconsistencies. Interestingly, distressed firms are found to be predators and the market reaction to these is not always predictable. Several financing options are associated with takeover activity and are generally specific to the acquiring firm. Given the interest in the academic and business literature, merger and acquisition will continue to be an interesting but challenging strategy in the search for expanding corporate influence and profitability.

The stochastic discount factor (SDF) approach to fund performance is a recent innovation in the fund performance literature (). A number of recent studies have used the stochastic discount factor approach to evaluate the performance of managed funds. In this paper, I present an overview of the use of the stochastic discount approach to evaluate the unconditional and conditional performance of the fund. I also discuss estimation issues and provide a brief survey of empirical evidence.

Measures for evaluating the performance of a mutual fund or other managed portfolio are interpreted as the difference between the average return of the fund and that of an appropriate benchmark portfolio. Traditional measures use a fixed benchmark to match the average risk of the fund. Conditional performance measures use a dynamic strategy as the benchmark, matching the fund’s risk dynamics. The logic of this approach is explained, the models are described and the empirical evidence is reviewed.

Under the state corporate chartering system in the U.S., managers may seek shareholder approval to reincorporate the firm in a new state, regardless of the firm’s physical location, whenever they perceive that the corporate legal environment in the new state is better for the firm. Legal scholars continue to debate the merits of this system, with some arguing that it promotes contractual efficiency and others arguing that it often results in managerial entrenchment. We discuss the contrasting viewpoints on reincorporations and then summarize extant empirical evidence on why firms reincorporate, when they reincorporate, and where they reincorporate to. We conclude by discussing how the motives managers offer for reincorporations, and the actions they take upon reincorporating, influence how stock prices react to reincorporation decisions.

Experimental findings and in particular Prospect Theory and Cumulative Prospect Theory contradict Expected Utility Theory, which in turn may have a direct implication to theoretical models in finance and economics. We show growing evidence against Cumulative Prospect Theory. Moreover, even if one accepts the experimental results of Cumulative Prospect Theory, we show that most theoretical models in finance are robust. In particular, the CAPM is intact even if investors make decisions based on change of wealth, employ decision weights, and are risk-seeking in the negative domain.

In the United States, the same stock can be traded at different locations. In the case of listed stocks, each location is a node in national network called the Intermarket Trading System (ITS). Unlisted stocks also trade at different nodes on the National Association of Securities Dealers Automated Quotation (NASDAQ) network. Each node of these two networks may have rules for breaking queuing ties among competing orders. Orders may be routed on the networks according to official rules (as with ITS) or order preferencing arrangements (both networks). This paper examines the impact of priority rules on individual markets and networks. The development of the ITS and NASDAQ networks as well as the relevant literature is discussed. I conclude that network priority rules improve market quality if they result in consolidated markets.

The entry reviews essential elements of market structure — the systems, procedures, and protocols that determine how orders are handled, translated into trades, and transaction prices determined. There are various contrasting alternatives, such as order-driven and quote-driven markets; consolidated vs fragmented markets; human intervention vs electronic trading; and continuous markets vs periodic call auctions. A major objective of market design noted in the discussion is to enhance the accuracy with which prices are discovered in a dynamic, uncertain environment. Lastly, the entry points out that market structures are rapidly changing, and that much remains to be learned about how best to structure a technologically sophisticated, hybrid market that efficiently services the varied needs of diverse participants.

All NYSE-listed stocks were switched from a fractional to a decimal trading system on January 29, 2001 and all NASDAQ stocks followed suit on April 9, 2001. The conversion to decimal trading in the U.S. markets has significantly reduced bid-ask spreads. This decline is primarily due to the drop in market makers’ costs for supplying liquidity. In addition, rounding becomes less salient after the decimalization. The decrease in bid-ask spreads can be ascribed to the decrease in price rounding, when controlling for the changes in trading variables.

Empirical work on portfolio choice and asset pricing has shown that an investor’s current asset demand is affected by the possibility of uncertain changes in future investment opportunities. In addition, different countries have different prices for goods when there is a common numeraire in the international portfolio choice and asset pricing. In this survey, we present an intertemporal international asset pricing model (IAPM) that prices market hedging risk and exchange rate hedging risk in addition to market risk and exchange rate risk. This model allows us to explicitly separate hedging against changes in the investment opportunity set from hedging against exchange rate changes as well as separate exchange rate risk from intertemporal hedging risk.

The basic rules of balancing the expected return on an investment against its contribution to portfolio risk are surveyed. The related concept of Capital Asset Pricing Model asserting that the expected return of an asset must be linearly related to the covariance of its return with the return of the market portfolio if the market is efficient and its statistical tests in terms of Arbitraging Price Theory are also surveyed. The intertemporal generalization and issues of estimation errors and portfolio choice are discussed as well.