A number of recent studies finds two asymmetries in dependence structures in international equity markets; specifically, dependence tends to be high in both highly volatile markets and in bear markets. In this paper, a further investigation of asymmetric dependence structures in international equity markets is performed by using the Markov switching model and copula theory. Combining these two theories enables me to model dependence structures with sufficient flexibility. Using this flexible framework, I indeed find that there are two distinct regimes in the U. S.-U. K. market. I also show that for the U. S.-U. K. market the bear regime is better described by an asymmetric copula with lower tail dependence with clear rejection of the Markov switching multivariate normal model. In addition, I show that ignorance of this further asymmetry in bear markets is very costly for risk management. Lastly, I conduct a similar analysis for other G7 countries, where I find other cases in which the use of a Markov switching multivariate normal model would be inappropriate.

In this paper, we analyze the relationships among oil prices, clean energy stock prices, and technology stock prices, endogenously controlling for structural changes in the market. To this end, we apply Markov-switching vector autoregressive models to the economic system consisting of oil prices, clean energy and technology stock prices, and interest rates. The results indicate that there was a structural change in late 2007, a period in which there was a significant increase in the price of oil. In contrast to the previous studies, we find a positive relationship between oil prices and clean energy prices after structural breaks. There also appears to be a similarity in terms of the market response to both clean energy stock prices and technology stock prices.

Characteristics of inflation play a key role in policy formulation and market analysis. Several studies have analyzed inflation persistence and reached diverging conclusions. In this paper, we investigate the dynamics of inflation persistence using fractionally integrated processes and find that there has been a clear decline in inflation persistence in the United States over the past two decades. We also show that the presence of fractional integration in inflation successfully explains previous diverging results. Lastly, we provide some international comparisons to examine the extent to which there has been a commensurate decline in inflation persistence in the other G7 economies. Copyright 2007 The Ohio State University.

JEL classification: E6 H5 H6Keywords: Debt to GDP ratio Minimum tax rate for fiscal sustainability Markov switching model Active policy Passive policy a b s t r a c t Doi, Takero, Hoshi, Takeo, and Okimoto, Tatsuyoshi-Japanese government debt and sustainability of fiscal policyWe construct quarterly series of the revenues, expenditures, and debt outstanding for Japan from 1980 to 2010, and analyze the sustainability of the fiscal policy. We pursue three approaches to examine the sustainability. First, we calculate the minimum tax rate that stabilizes the debt to GDP ratio given the future government expenditures. Using 2010 as the base year, we find that the government revenue to GDP ratio must rise permanently to 40-47% (from the current 33%) to stabilize the debt to GDP ratio. Second, we estimate the response of the primary surplus when the debt to GDP ratio increases. We allow the relationship to fluctuate between two ''regimes'' using a Markov switching model. In both regimes, the primary surplus to GDP ratio fails to respond positively to debt, which suggests the process is explosive. Finally, we estimate a fiscal policy function and a monetary policy function with Markov switching. We find that the fiscal policy is ''active'' (the tax revenues do not rise when the debt increases) and the monetary policy is ''passive'' (the interest rate does not react to the inflation rate sufficiently) in both regimes. These results suggest that the current fiscal situation for the Japanese government is not sustainable.

The question of whether more socially responsible (SR) firms outperform or underperform other conventional firms has been debated in the economic literature. In this study, using the socially responsible investment (SRI) indexes and conventional stock indexes in the US, the UK, and Japan, first and second moments of firm performance distributions are estimated based on the Markov switching model. We find two distinct regimes (bear and bull) in the SRI markets as well as the stock markets for all three countries. These regimes occur with the same timing in both types of market. No statistical difference in means and volatilities generated from the SRI indexes and conventional indexes in either region was found. Furthermore, we find strong comovements between the two indexes in both regimes.