The study adds an empirical outlook on the predicting power of using data from the future to predict future returns. The crux of the traditional Capital Asset Pricing Model (CAPM) methodology is using historical data in the calculation of the beta coefficient. This study instead uses a battery...

We consider time series models in which the conditional mean of the response variable given the past depends on latent covariates. We assume that the covariates can be estimated consistently and use an iterative nonparametric kernel smoothing procedure for estimating the conditional mean...

Hedge Fund returns are often highly serially correlated mainly due to illiquidity exposures given that investments in such securities tend to be inactively traded and associated market prices are not always readily available. Following that, observed returns of such alternative investments tend...

Various empirical specifications of the permanent income model are investigated using Canadian aggregate data. Tests for structural changes with known and unknown change point are applied to the models estimated by the generalized method of moments. The proportion of current income individuals...

This paper estimates and tests several versions of the consumption-based asset pricing model extended to allow for time-nonseparable preferences and/or liquidity constraint proxies, using Canadian aggregate data. It is found that a habit-persistence effect uncovered in the time-nonseparable...

The most popular method of calculating asset prices is the capital asset pricing model (CAPM). What is the appropriate amount of years to use in the estimation and which variation of the capital asset pricing beta provides the best results? This research looks at the out of sample forecasting...

As the Association of Southeast Asian Nations (ASEAN) becomes an emerging market, US investors will want to know how their favorite method of calculating asset pricing fits into this new undeveloped market. Also, as the ASEAN becomes more internationalized, managers within will look for ways in...

In a world of interconnected financial markets it is plausible that risk appetite — an important factor in asset pricing — is determined globally. By constructing an estimate of variance risk premia (VRP) for UK, US and euro-area equity markets, we are able to estimate international variance...

The VIX index is not only a volatility index but also a polynomial combination of all possible higher moments in market return distribution under the risk-neutral measure. This paper formulates the VIX as a linear decomposition of four fundamentally different elements: the realized variance...

Forecasting Realized Volatility (RV) is of paramount importance for both academics andpractitioners. During recent decades, academic literature has made substantial progressboth in terms of methods and predictors under consideration. Despite the popularity oftechnical indicators, there has been...