A random coefficient autoregressive Markov regime switching model for dynamic futures hedging

The random coefficient autoregressive Markov regime switching model (RCARRS) for estimating optimal hedge ratios, which generalizes the random coefficient autoregressive (RCAR) and Markov regime switching (MRS) models, is introduced. RCARRS, RCAR, MRS, BEKK‐GARCH, CC‐GARCH, and OLS are compared with the use of aluminum and lead futures data. RCARRS outperforms all models out‐of‐sample for lead and is second only to BEKK‐GARCH for aluminum in terms of variancereduction point estimates. White's data‐snooping reality check null hypothesis of no superiority is rejected for BEKK‐GARCH and RCARRS for aluminum, but not for lead. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:103–129, 2006     

Improving lattice schemes through bias reduction

Lattice schemes for option pricing, such as tree or grid/partial differential equation (p.d.e.) methods, are usually designed as a discrete version of an underlying continuous model of stock prices. The parameters of such schemes are chosen so that the discrete version “best” matches the continuous one. Only in the limit does the lattice option price model converge to the continuous one. Otherwise, a discretization bias remains. A simple modification of lattice schemes which reduces the discretization bias is proposed. The modification can, in theory, be applied to any lattice scheme. The main idea is to adjust the lattice parameters in such a way that the option price bias, not the stock price bias, is minimized. European options are used, for which the option price bias can be evaluated precisely, as a template to modify and improve American option methods. A numerical study is provided. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:733–757, 2006     

EARNINGS ANNOUNCEMENTS,QUALITY AND QUANTITY OF INFORMATION,AND STOCK PRICE CHANGES

We analyze the informational effect of earnings announcements on stock price changes. Although prior studies postulate that the direction and magnitude of earnings surprises contribute to abnormal stock price changes, we attribute earnings surprises and subsequent stock price changes to the quality and quantity of available information. If a stock is followed by many financial analysts, the amount of information available to investors contributes to higher quality information, which in turn is reflected by a small earnings surprise. Furthermore, we demonstrate that as the quality and quantity of information increase, stock prices adjust more quickly, which sheds additional light on the post-earnings-announcement drift issue. Finally, cross-sectional analysis reveals that the flow of information, as measured by the rate of trading volume changes, and the stock of information, as measured by the number of financial analysts, contributes significantly to the variations in excess returns and return volatility. Traditional variables, such as earnings surprises, earnings reporting lag, and firm size, do not perform well.     

A finite selection model for experimental design of the health insurance study

This paper is concerned with the problem of estimating the parameters of the standard linear model from grouped data, or more generally from aggregated data. A number of alternative solutions are suggested and compared.     

Cross‐country Relative Price Volatility: Effects of Market Structure*

Using annual data on nine manufacturing sectors of 18 OECD countries, the article studies the implications of market structure for cross‐country relative price variability. It is found that, in accordance with predictions from a standard markup pricing model, reductions in market competition, along with increased nominal exchange rate volatility, are associated with greater variability of cross‐country relative prices. The market structure also has similar effects on components of cross‐country relative price variability. The empirical findings are robust to the inclusion of various control variables and alternative sample specifications.     

Identifying Trade Structure and Macroeconomic Caveats: The Post‐crisis of Korea

First, this article introduces unit value box in addition to Azhar, Elliott and Milner's industry trade box in identifying the post‐crisis trade structure of Korea. Dynamic movements of total trade, net trade, intra‐industry trade and export‐import unit values complete the systematic analysis of trade patterns at both the aggregate and disaggregate levels. Second, macroeconomic caveats are conveyed for a small open economy to recover after the crisis, including likely but unforeseen trade disputes.