The impact of news,oil prices,and global market developments on Russian financial markets1

This paper analyses the impact of news, oil prices, and international financial market developments on daily returns on Russian bond and stock markets. First, regarding returns, energy news affects returns, while news from the war in Chechnya is not significant. Market volatility does not appear to be sensitive to either type of news. Second, a significant effect of the growth in oil prices on Russian stock returns is detected. Third, the international influence on Russian financial markets depends upon the degree of financial liberalization. The higher the degree of financial liberalization, the stronger is the impact of US stock returns on Russian financial markets. In addition, banking reform and interest rate liberalization efforts seem to dictate the globalization of Russian stock markets, while it is the progress in liberalizing securities markets and non‐bank financial institutions that matters more for the globalization of Russian bond markets.     

Information flows within and across sectors in Chinese stock markets

We examine the patterns of information flows within and across sectors of the two Chinese stock exchanges in Shanghai and Shenzhen during 1994–2001. Using the generalized forecast error variance decomposition, we find a high degree of interdependence, indicating that the sectors are highly integrated and sector prices reflect information from other sectors. Industry is the most influential sector in both exchanges, while Finance in Shenzhen is the least integrated with other sectors. Implications of the findings for investors and policymakers are also discussed.     

Estimation of the scale matrix of a multivariate t-model under entropy loss

This paper deals with the estimation of the scale matrix of a multivariatet-model with unknown location vector and scale matrix to improve upon the usual estimators based on the sample sum of product matrix. The well-known results of the estimation of the scale matrix of the multivariate normal model under the assumption of entropy loss function have been generalized to that of a multivariatet-model. The paper is based on the first author’s unpublished Ph.D. dissertation ‘Estimation of the Scale Matrix of a Multivariate T-model’, University of Western Ontario, Canada. Present address: School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia.     

A study of several new and existing tests for heteroscedasticity in the general linear model1

Several optimum non-parametric tests for heteroscedasticity are proposed and studied along with the tests introduced in the literature in terms of power and robustness properties. It is found that all tests are reasonably robust to the Ordinary Least Squares (OLS) residual estimates, number and character of the regressors. Only a few are robust to both the distributional and independence assumptions about the errors. The power of tests can be improved with the OLS residual estimates, the increased sample size and the variability of the regressors. It can be substantially reduced if the observations are not normally distributed, and may increase or decrease if the errors are dependent. Each test is optimum to detect a specific form of heteroscedasticity and a serious power loss may occur if the underlying heteroscedasticity assumption in the data generation deviates from it.     

Equilibrium in abstract economies without ordered preferences and with a measure space of agents

We report a generalization of Aumann's (1966) existence theorem to economies without ordered preferences and with externalities in consumption. Our work can alternatively be viewed as a generalization of the Shafer–Sonnenschein (1975) theorem to economies with a continuum of agents.     

An empirical study of a new method for forming group judgments: Qualitative Controlled Feedback

The Qualitative Controlled Feedback (QCF) method was developed by Press [1] to assist policy makers in forming judgments and making decisions that reflect the careful interactive reasoning and arguments of all of the members of a group or population. Since the QCF method involves controlled feedback, it tends to minimize the effects of face-to-face group interaction pressures. Since the feedback is “qualitative,” however, the procedure tends not to artificially induce a consensus on the group. This paper summarizes a feasibility study of the procedure. A sample of 111 faculty and staff members of the University of British Columbia participated in the testing of the method. The participants were asked to make a judgment on the importance of building an aquatic center on campus. A second (control) group of 89 faculty and staff members was surveyed on the same issue, but using the conventional survey method, that is, no feedback. It was observed that Qualitative Controlled Feedback created a good interaction (in the sense of exchanging arguments and reasons) among group members. Changes in judgments occurred as subjects went from one stage to another after having qualitative feedback of information. It was also found that the judgments given by the subjects in the qualitative controlled feedback group were distributed quite differently from those given by the control group. The method suggests a significantly new way of collecting and interpreting group judgments.     

TESTING ALTERNATIVE VIEWS OF GOVERNMENT BUDGETING

We develop three competing models of government budgeting: (1) a rational model, in which government services are provided in accordance with consumer tastes, (2) a Friedman-type model, in which spending and borrowing decisions derive from the level of taxes, and (3) a Buchanan public-choice type model, in which the extent of deficit spending determines government spending plans. We use quarterly U.S. data over the period 1947 to 1987 to empirically test each of these models within a vector autoregressive framework, taking into account the potential role of other relevant macro variables. We first specify the testing framework utilizing data on the levels of government revenue, spending and deficit, and show that the resulting estimates are unrealistic. We then divide each of these variables into anticipated and unanticipated components. The results thus obtained reject the Buchanan-type models, but are unable to reject either a Friedman-type model or a “weak” form of the rational model. Our results suggest that future research should concentrate on developing appropriate tests capable of distinguishing between these two models of the government budgeting process.