Factor model is an appealing and effective analytic tool for high-dimensional time series, with a wide range of applications in economics, finance and statistics. One of the fundamental issues in using factor model for time series in practice is the determination of the number of factors to use....

In this paper we examine the Heston model in the limit of infinitely fast mean-reversion for the stochastic volatility process (CIR). We show that, under an appropriate scaling of the model parameters, the two-factor stochastic volatility Heston model can be exactly mapped to a one-factor...

In previous studies, high-frequency data has been used to improve portfolio allocation by estimating the full realized covariance matrix. In this paper, we show that strategies using high-frequency data for measuring and forecasting univariate realized volatility alone can already generate...

This paper studies the interaction between monetary policy, financial markets, and the real economy. We develop a Bayesian framework to estimate proxy structural vector autoregressions (SVARs) in which monetary policy shocks are identified by exploiting the information contained in high...

This paper considers the role of non-pharmaceutical interventions (NPIs) and economic support measures (ESM) in affecting excess unemployment insurance claims in the U.S. Using a panel Vector AutoRegressive specification, we find that unemployment claims are significantly affected by both...

This study proposes a novel nonparametric estimation approach to solving asset-pricing models. Our method is robust to misspecification errors and it inherits a closed-form solution that facilitates ease of implementation. By transforming the Euler equation, our estimate is fully identified, and...

This paper analyzes the responsiveness of Thai outbound tourism to East Asian destinations, namely China, Hong Kong, Japan, Taiwan and Korea, to changes in effective relative price of tourism, total real total tourism expenditure, and one-off events. The nonlinear and linear Almost Ideal Demand...

The present study attempts to analyze the price formation mechanism in the world soybean oil market in a competitive framework. The determinants of world soybean oil price are identified by estimating the equations for exports/imports and the border prices of the major exporting and importing...

This paper is an attempt to understand the price formation mechanism in world wheat markets and trace its likely implications for agricultural trade liberalization in India. The main objective is to identify the determinants of price formation and more specifically to understand the influence of...

If the creditworthiness of a counterparty is a derivative of a commodity price, there is the potential to have right- or wrong-way exposures in respective commodity transaction. Identifying them is important, because otherwise credit costs might be inadequately calculated and wrong incentives...