The cross-sectional relation between conditional heteroskedasticity,the implied volatility smile,and the variance risk premium

This paper estimates how the shape of the implied volatility smile and the size of the variance risk premium relate to parameters of GARCH-type time-series models measuring how conditional volatility responds to return shocks. Markets in which return shocks lead to large increases in conditional volatility tend to have larger variance risk premia than markets in which the impact on conditional volatility is slight. Markets in which negative (positive) return shocks lead to larger increases in future volatility than positive (negative) return shocks tend to have downward (upward) sloping implied volatility smiles. Also, differences in how volatility responds to return shocks as measured by GARCH-type models explain much, but not all, of the variations in excess kurtosis and multi-period skewness across different markets.     

Intraday volume and volatility relations with and without public news

This paper reexamines the dynamic relation between intraday trading volume and return volatility of large and small NYSE stocks in two partitioned samples, with and without identifiable public news. We argue that the sequential information arrival hypothesis (SIAH) can be tested only in periods containing public news. After partitioning the sample into periods with and without public news, we find bi-directional Granger-causality between volume and volatility in the presence of public information as hypothesized by the SIAH. Our analysis further suggests that return volatility is higher in the periods with public news, while trading volume is significantly higher in the no-news period; perhaps owing to the importance of private information for trading stocks. Using the sample without public news, we find evidence that volume Granger-causes volatility without feedback. These results are broadly consistent with behavioral models like the overconfidence and biased self-attribution model of [Daniel, K., Hirshleifer, D., Subrahmanyam, A., 1998. Investor psychology and security market under- and over-reactions. Journal of Finance 53, 1839–1885]. It appears that overconfident investors overrate the precision of their private news signals and therefore trade too aggressively in the absence of public news; when public news arrives, investors’ biased self-attribution triggers excessive return volatility.     

Intraday Volatility in Interest‐Rate and Foreign‐Exchange Markets: ARCH,Announcement, and Seasonality Effects

We explore the determinants of intraday volatility in interest‐rate and foreign‐exchange markets, focusing on the importance and interaction of three types of information in predicting intraday volatility: (a) knowledge of recent past volatilities (i.e., ARCH or Autoregressive Conditional Heteroskedasticity effects); (b) prior knowledge of when major scheduled macroeconomic announcements, such as the employment report or Producer Price Index, will be released; and (c) knowledge of seasonality patterns. We find that all three information sets have significant incremental predictive power, but macroeconomic announcements are the most important determinants of periods of very high intraday volatility (particularly in the interest‐rate markets). We show that because the three information sets are not independent, it is necessary to simultaneously consider all three to accurately measure intraday volatility patterns. For instance, we find that most of the previously documented time‐of‐day and day‐of‐the‐week volatility patterns in these markets are due to the tendency for macroeconomic announcements to occur on particular days and at particular times. Indeed, the familiar U‐shape completely disappears in the foreign‐exchange market. We also find that estimates of ARCH effects are considerably altered when we account for announcement effects and return periodicity; specifically, estimates of volatility persistence are sharply reduced. Separately, our results show that high volatility persists longer after shocks due to unscheduled announcements than after equivalent shocks due to scheduled announcements, indicating that market participants digest information much more quickly if they are prepared to receive it. However, contrary to results from equity markets, we find no evidence of a meaningful difference in volatility persistence after positive or negative price shocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 517–552, 2001     

Technological Scanning by Small Canadian Manufacturers

Given that in many industries new production and information technologies have fundamentally changed the way in which firms must operate and compete, the technological aspect of environmental scanning has become a critical success factor for many small and medium-sized manufacturing enterprises. As little is presently known about how technological scanning manifests itself in these organizations and about what determines the nature and level of this activity, a survey study of 324 Canadian firms was done. Testing a research model resulted in identifying four interrelated dimensions of scanning activity, namely scanning objectives, type of information, information sources, and management practices. Key determinants of this activity were also identified, including the firms' strategy, environmental uncertainty, production technology, level of R&D, information networks, and the owner-manager's education level.     

The T-Group: Short cut or short circuit?

T-group or sensitivity training has become popular in recent years. A T -group includes eight to twelve people and a qualified leader; its purpose can be to provide therapy or to promote personal improvement or organization development. Beset by organizational problems, some top executives have instituted T-groups, thinking they may be a panacea. In some cases this approach has improved morale and even increased productivity. In other cases the hierarchical structure of the company has been damaged, economic gain has been condemned, and profits have been affected. T-groups can have a useful role if top management rationally decides the proper ends and means for this powerful tool.     

Economists versus engineers: Two approaches to environmental problems

The Review of Austrian Economics - There are two distinct and partly irreconcilable approaches to analyzing environmental problems. The first, we call the engineering approach and the other the...     

Strategic conversation quality and engagement: assessment of a new measure

When considering organization strategy‐making and execution from a learning perspective, the role of conversation and engagement is of critical importance, yet little research has been conducted in this area. Recent publications have suggested an increasing role for conversation and dialogue in strategic planning processes. The present study provides initial validity and reliability scores of an instrument for measuring individual conversation quality and engagement skills in a strategic planning context. Participants were managers (n = 204) from four organizations. Results indicate an instrument with highly accurate and consistent measurement scores. Implications for practice and future research are briefly discussed.