The disappointing performance of value and small cap strategies shows that style consistency may not provide the long-term benefits often assumed in the literature. In this study we examine whether the short-term variation in the U.S. size and value premium is predictable. We document...

Our study examines whether the short-term variation in the Japanese size and value premium is sufficiently predictable to be exploited by a timing strategy. In the spirit of Pesaran and Timmermann (1995), we employ a dynamic modeling approach in which we explicitly allow for permutations among...

We propose a simple non-equilibrium model of a financial market as an open system with a possible exchange of money with an outside world and market frictions (trade impacts) incorporated into asset price dynamics via a feedback mechanism. Using a linear market impact model, this produces a...

In this study, we develop a framework, based on the Global Vector Autoregression Model (GVAR), to unite two differing perspectives on commodity markets, the single-market centered approach, investigating the micro- and macroeconomic drivers of commodity prices, as well as the inter-market...

This paper considers flexible conditional (regression) measures of market risk. Value-at-Risk modeling is cast in terms of the quantile regression function - the inverse of the conditional distribution function. A basic specification analysis relates its functional forms to the benchmark models...

In this paper, we examine whether the short-term variation in the size and value premium in the Japanese stock market is sufficiently predictable to be exploited by a tactical timing strategy. In the spirit of Pesaran and Timmermann (1995), we employ a dynamic modeling approach in which we...

In this paper we develop a trading strategy in which the difference in observed returns of value and growth stocks in the US stock market is exploited. In the literature this return spread is often called the quot;value premiumquot;. In our modeling process we use a procedure similar to the...

This paper develops a model for volatility sensitivity to the underlying asset price. It has applications to option pricing and dynamic delta hedging under stochastic volatility. The model allows at-the-money volatility sensitivity to change continuously with S and this corresponds to a...

INTRODUCTION;ROLE OF FINANCIAL VARIABLES;A TWO-STEP APPROACH TO MODEL INFLATION ; MODELLING LONG-MEDIUM TERM COMPONENT OF INFLATION ;A MIXED-FREQUENCY MODEL FOR REAL-TIME FORECASTS OF INFLATION; 4 TWO FORECASTING APPLICATIONS IN REAL-TIME; REAL-TIME FORECASTS OF MONTHLY INFLATION; MODEL FORECASTS...

When high-frequency data is available, in the context of a stochastic volatility model, realised absolute variation can estimate integrated spot volatility. A central limit theory enables us to do filtering and smoothing using model-based and model-free approaches in order to improve the...