This paper provides insight view of an investor mind dueling on proving the fact that a series of event in a company could cause a dramatic move on to practitioners who wish to forecast market returns based on event occurrences.Using 12 years (2006 to 2018) historical data of Foxconn Company...

Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...

Sellers of variance swaps earn time-varying risk premia for their exposure to realized variance, the level of variance swap rates, and the slope of the variance swap curve. To measure risk premia, we estimate a dynamic term structure model that decomposes variance swap rates into expected...

Model selection, i.e., the choice of an asset pricing model to the exclusion of competing models, is an inherently misguided strategy when the true model is unavailable to the researcher. This paper illustrates the advantages of a model pooling approach in characterizing the cross section of...

Despite its theoretical appeal, Markowitz mean-variance portfolio optimization is plagued by practical issues. It is especially difficult to obtain reliable estimates of a stock's expected return. Recent research has therefore focused on minimum volatility portfolio optimization, which...

It is considered the probability properties of the yield interest rates that are generated of Nelson – Siegel (NS) model and the Nelson – Siegel – Svensson (NSS) model. Description of yield models Nelson – Nelson and Siegel – Siegel – Svensson presented as a description of the...

Empirical analysis of financial data such as the daily, weekly or monthly prices of assets such as bonds, stocks, currencies and commodities have shown that asset prices approximately follow a martingale process, but the distribution of asset returns tend to be fat-tailed. This paper examines...