Value at Risk (VaR) has become the industry standard to measure the market risk. However, the selection of the VaR models is controversial. Simulation Results indicate Historical Simulation has significant positive bias, while GARCH (1,1) has has significant negative bias. Also HS adapts structural change slowly but stable, while GARCH adapts structural break rapidly but less stable. Thus the m...

The identification of reduced-form VAR model had been the subject of numerous debates in the literature. Different sets of identifying assumptions can lead to very different conclusions in the policy debate. This paper proposes a theoretical consistent identification strategy using restrictions implied by a DSGE model. Monte Carlo simulations suggest the proposed identification strategy is succ...

This paper proposes differentiability properties for positively homogeneous risk measures which ensure that the gradient can be applied for reasonable risk capital allocation on non-trivial portfolios. It is shown that these properties are fulfilled for a wide class of coherent risk measures based on the mean and the one-sided moments of a risky payoff. In contrast to quantile-based risk measur...

T he impact of FDI on economic growth is neither homogeneous, nor completely clarified. Due to accumulation of capital in the host economy, FDI is expected to encourage the incorporation of new inputs and technologies in the process of production. However, the impact of FDI on economic growth is not so shaped up in empirical studies. Accordingly, while some studies remarked a positiv...

Many economic applications call for simultaneous equations VAR modeling. We show that the existing importance sampler can be prohibitively inefficient for this type of models. We develop a Gibbs simulator that works for both simultaneous and recursive VAR models with a much broader range of linear restrictions than those in the existing literature. We show that the required computation is of an...

We find that covariance matrix forecasts for an international interest rate portfolio generated by a model that incorporates interest-rate level volatility effects perform best with respect to statistical loss functions. However, within a value-at-risk (VaR) framework, the relative performance of the covariance matrix forecasts depends greatly on the VaR distributional assumption. Simple foreca...

We study the dynamic relation between aggregate mutual fund flow and market-wide volatility. Using daily flow data and a VAR approach, we find that market volatility is negatively related to concurrent and lagged flow. A structural VAR impulse response analysis suggests that shock in flow has a negative impact on market volatility: An inflow (outflow) shock predicts a decline (an increase) in v...

This paper argues that the growing US trade de…cit has caused the decline of the WTO and the rise of regional trade agreements. A country in de…cit prefers to retain market power against countries with a large surplus. Multilateral cooperation restricts its choice. This notion is formalized in a three-country game in which countries negotiate multilaterally and, if that fails, bilaterally. The ...

  This paper examines impact of trade liberalization on industrial growth of India. The research problem is expressed as “To what extent does trade liberalization or openness of the economy influence industrial growth of India?” To identify the impacts of trade liberalization, total time period, 1970-2010, is divided into two sub periods of before trade liberalization i.e. (1970 to 1990) an...

This paper uses MSA level data and a panel VAR model to analyze the dynamic determination and impact of the volatility of single-family home value appreciation. We find that the volatility can be magnified by an exogenous increase in the home appreciation rate, responds to changes in the population growth rate, and is serially correlated. Moreover, an exogenous increase in the volatility increa...