Correlations in price changes and volatility across international stock markets

The short-run interdependence of prices and price volatilityacross three major international stock market is studied. Dailyopening and closing prices of major stock indexes for the Tokyo,London, and New York stock markets are examined. The analysisutilizes the autoregressive conditionally heteroskedastic (ARCH)family of statistical models to explore these pricing relationship.Evidence of price volatility spillovers from New York to Tokyo,London to Tokyo, and New York to London is observed, but noprice volatility spillover effects in other directions are foundfor the pre-October 1987 period.  

Stock prices and volume

We undertake a comprehensive investigation of price and volumeco-movement using daily New York Stock Exchange data from 1928to 1987. We adjust the data to take into account well-knowncalendar effects and long-run trends. To describe the process,we use a seminonparametric estimate of the joint density ofcurrent price change and volume conditional on past price changesand volume. Four empirical regularities are found: (i) positivecorrelation between conditional volatility and volume; (ii)large price movements are followed by high volume; (iii) conditioningon lagged volume substantially attenuates the 'leverage' effect;.and (iv) after conditioning on lagged volume, there is a positiverisk-return relation.  

Transactions, volume, and volatility

We show that the positive volatility-volume relation documentedby numerous researchers actually reflects the positive relationbetween volatility and the number of transactions. Thus, itis the occurrence of transactions per se, and not their size,that generates volatility; trade size has no information beyondthat contained in the frequency of transactions. Our resultssuggest that theoretical research needs to entertain scenariosin which (i) both the frequency and size of trades are endogenouslydetermined, yet (ii) the size of trades has no information contentbeyond that contained in the number of transactions.  

The Variance Gamma Process and Option Pricing

A three parameter stochastic process, termed the variance gamma process, that generalizes Brownian motion is developed as a model for the dynamics of log stock prices. The process is obtained by evaluating Brownian motion with drift at a random time given by a gamma process. The two additional parameters are the drift of the Brownian motion and the volatility of the time change. These additional parameters provide control over the skewness and kurtosis of the return distribution. Closed forms are obtained for the return density and the prices of European options. The statistical and risk neutral densities are estimated for data on the S & P500 Index and the prices of options on this Index. It is observed that the statistical density is symmetric with some kurtosis, while the risk neutral density is negatively skewed with a larger kurtosis. The additional parameters also correct for pricing biases of the Black Scholes model that is a parametric special case of the option pricing model developed here.  

Do bulls and bears move across borders? International transmission of stock returns and volatility

This article investigates empirically how returns and volatilitiesof stock indices are correlated between the Tokyo and New Yorkmarkets. Using intradaily data that define daytime and overnightreturns for both markets, we find that Tokyo (New York) daytimereturns are correlated with New York (Tokyo) overnight returns.We interpret this result as evidence that information revealedduring the trading hours of one market has a global impact onthe returns of the other market. In order to extract the globalfactor from the daytime returns of one market, we propose andestimate a signal extraction model with GARCH processes.  

Are Accruals during Initial Public Offerings Opportunistic?

We find evidence that initial public offering (IPO) firms, on average, have high positive issue-year earnings and abnormal accruals, followed by poor long-run earnings and negative abnormal accruals. The IPO-year abnormal, and not expected, accruals explain the cross-sectional variation in post-issue earnings and stock returns. The results are robust with respect to alternative abnormal accruals and earnings performance measures. IPO firms adopt more income-increasing depreciation policies when they deviate from similar prior performance same industry non-issuers, and they provide significantly less for uncollectible accounts receivable than their matched non-issuers. The results taken together suggest opportunistic earnings management partially explains the new issues anomaly.  

Pricing Residential Amenities: The Value of a View

This study provides estimates of the value of the view amenity in single-family residential real estate markets. A focus on Bellingham, Washington, a city with a variety of views, including ocean, lake, and mountain, allows for differentiation of the view amenity by both type and quality. Results from a hedonic model estimated for several recent years suggest that depending on the particular view, willingness to pay for this amenity is quite high. The highest-quality ocean views are found to increase the market price of an otherwise comparable home by almost 60%; the lowest-quality ocean views are found to add about 8%. For ocean views of all quality levels, the value of a view is found to vary inversely with distance from the water.  

Investment analysis and the adjustment of stock prices to common information

In this article we are concerned with the effect of the numberof investment analysts following a firm on the speed of adjustmentof the firm's stock price to new information that has commoneffects across firms. It is found that returns on portfoliosof firms that are followed by many analysts tend to lead thoseof firms that are followed by fewer analysts, even when thefirms are of approximately the same size. Many analyst firmsalso tend to respond more rapidly to market returns than dofew analyst firms, adjusting for firm size. This relation, however,is nonlinear, and the marginal effect of the number of analystson the speed of price adjustment increases with the number ofanalysts.  

An individual level analysis of the mutual fund investment decision

This study investigates the manner in which consumers make investment decisions for mutual funds. Investors report that they consider many nonperformance related variables. When investors are grouped by similarity of investment decision process, a single small group appears to be highly knowledgeable about its investments. However, most investors appear to be naive, having little knowledge of the investment strategies or financial details of their investments. Implications for mutual fund companies are discussed.  

Survivorship bias in performance studies

Recent evidence suggests that past mutual fund performance predictsfuture performance. We analyze the relationship between volatilityand returns in a sample that is truncated by survivorship andshow that this relationship gives rise to the appearance ofpredictability. We present some numerical examples to show thatthis effect can be strong enough to account for the strengthof the evidence favoring return predictability.