Knowledge that Transforms

Philip J. Lee, Stephen L. Taylor, Terry S. Walter, IPO Underpricing Explanations: Implications from Investor Application and Allocation Schedules, The Journal of Financial and Quantitative Analysis, Vol. 34, No. 4 (Dec., 1999), pp. 425-444

This paper examines the pricing of lookback and barrier options when the underlying asset follows the constant elasticity of variance (CEV) process. We construct a trinomial method to approximate the CEV process and use it to price lookback and barrier options. For look-back options, we find that the technique proposed by Babbs for the lognormal case can be modified to value lookbacks when the asset price follows the CEV process. We demonstrate the accuracy of our approach for different parameter values of the CEV process. We find that the prices of barrier and lookback options for the CEV process deviate significantly from those for the lognormal process. For standard options, the corresponding differences between the CEV and Black-Scholes models are relatively small. Our results show that it is much more important to have the correct model specification for options that depend on extrema than for standard options.

Prior studies have reported a positive correlation between insider trading and stock price changes implying that insider (i.e., informed) trades affect price discovery differently than non-insider (i.e., uninformed) trades. Based on these results, various scholars have argued for the legalization of insider trading to facilitate rapid price discovery. We analyze the trading activity of a confessed inside trader, Ivan Boesky, in Carnation's stock just prior to Nestle's 1984 acquisition of Carnation, and find that our tests are unable to distinguish the price effect of Boesky's (i.e., informed) purchases of Carnation's stock from the effect of non-insider (i.e., uninformed) purchases. Our conclusion survives extensive robustness tests and has methodological and public policy implications.

This paper provides the solution to an intertemporal investment problem. The investor has power utility and can invest in stocks and bonds in a complete market setting where the Vasicek term structure model applies. The paper demonstrates that the zero-coupon bond with maturity at the investment horizon is the appropriate instrument for hedging changes in the opportunity set. Implementation issues are discussed and it is shown how the intertemporal investment problem can be recast as a series of mean-variance problems in terms of drift and volatility of the wealth forward price. An application based on a quasi-dynamic programming approach is considered.

Erik Lie, Heidi J. Lie, The Role of Personal Taxes in Corporate Decisions: An Empirical Analysis of Share Repurchases and Dividends, The Journal of Financial and Quantitative Analysis, Vol. 34, No. 4 (Dec., 1999), pp. 533-552

This paper provides a theoretical rebalancing benchmark for trading volume that delivers a connection between trading activity in individual stocks and market-wide volume. This model supports the empirical use of an adjustment for market-wide trading activity when filtering out normal trading volume. Data on a sample of large NYSE/AMEX firms support the usefulness of the benchmark. While 20% of the sample firms exhibit trading behavior that is consistent with the cross-sectional prediction of the rebalancing bench? mark, systematic deviations exist. An analysis of deviations from the benchmark allows a characterization of anomalous trading activity. I find that average excess turnover vs. the benchmark is positively related to option availability and institutional ownership and negatively related to firm size. The data do not yield a uniform conclusion on the effect of S&P 500 inclusion. S&P 500 inclusion does not significantly increase the trading of firms that are already trading above benchmark levels, but does result in additional trading for firms that undertrade the benchmark prior to inclusion. An investigation of individual firm market model regressions indicates that this is a useful methodology for filtering out the anomalous trading documented here.

Trade execution costs remain larger on NASDAQ compared to the NYSE in the wake of new SEC-mandated order-handling rules and reductions in tick sizes, but the differential across markets is smaller than in earlier years. Cross-sectional regression analysis indicates that the differences in average trade execution costs are not explained by variation in observable economic factors. Quotations on both markets continue to cluster disproportionately on round fractions, and more so on NASDAQ than the NYSE, but quotation rounding appears not to be responsible for the greater NASDAQ execution costs. Preferencing agreements are highlighted as a likely reason that NASDAQ trade execution costs remain larger.

Warren Bailey, Y. Peter Chung, Jun-koo Kang, Foreign Ownership Restrictions and Equity Price Premiums: What Drives the Demand for Cross-Border Investments?, The Journal of Financial and Quantitative Analysis, Vol. 34, No. 4 (Dec., 1999), pp. 489-511

This study provides evidence that differential interpretations are an important stimulus for speculative trading. We measure differential interpretations using data on analysts' revisions of forecasts of annual earnings after the announcement of quarterly earnings that are components of those annual earnings numbers. We find two conditions under which differential interpretations play a significant role in explaining trading. First, we present empirical evidence supporting Kandel and Pearson's (1995) argument that trading coincident with small price changes reflects investors' differential interpretations of information. This evidence is important because it is inconsistent with conventional models of trade that assume homogeneous interpretations. Second, we also find that differential interpre? tations explain a significant amount of the trading occurring in a sample where trading volume is higher than the (firm-specific) non-announcement period average. This result is consistent with informed traders acting on their differential interpretations when there is enough liquidity trading to help camouflage their own information-based trades. In sum, the study's results confirm Bachelier's (1900) intuition that differential interpretations are an important stimulus for trading.

We present a subclass of Langetieg's (1980).linear Gaussian models of the term structure. The bond price is derived in terms of a finite set of state variables with correlated innovations. The subclass contains a reformulation of the double-decay model of Beaglehole and Tenney (1991), enabling us to clarify interpretation of their parameters. We apply Kalman filtering to a state space formulation of the model, allowing measurement errors in the data. One-, two-, and three-factor models are estimated on U.S. data from 1987–1996 and the results indicate the subclass of models can fit the U.S. term structure.