The decision to use reverse mortgage is influenced by a myriad of factors among which some are behaviourally related. Identification and validation of these behavioural factors are necessary to be able to objectively explain their interrelationships and effect on individual's decision to use the...

This study examines the long- and short-run dynamics between exchange rates and stock prices by using cointegration methodology and multivariate Granger causality tests. We apply the analysis to six countries, including: Japan, United Kingdom, Hong Kong, China, India and Brazil over the period...

The liberalization of energy markets worldwide during recent decades has introduced severe implications on the price formation in these markets. Especially within the European day-ahead electricity markets, increased physical connections between different market areas and a joint effort on...

We investigate connectedness within and across two major groups or assets: i) five popular cryptocurrencies, and ii) six major asset classes plus two commonly employed risk factors. Granger-causality tests uncover six direct channels of causality from the elements of the mainstream assets/risk...

This paper examines the steady state properties of the Threshold Vector Autoregressive model. Assuming that the trigger variable is exogenous and the regime process follows a Bernoulli distribution, necessary and sufficient conditions for the existence of stationary distribution are derived. A...

This paper investigates the dynamics in the British Pound (BP), Deutsche Mark (DM), Swiss Franc (SF), and Japanese Yen (JY) futures using Generalized Variance Decomposition analysis over the 1985–2005 period. The results support the interdependence hypothesis against the segregation model with...

Two-pass cross sectional regression (TPCSR) is frequently used in estimating factor risk premiums. Recent papers argue that the common practice of grouping assets into portfolios to reduce the errors-in-variables (EIV) problem leads to loss of efficiency and masks potential deviations from asset...

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...

Based on regime shifts test with MSAR model,The paper estimates the MSVAR model to investigate the interactive relationships between stock market and oil price using monthly data ranging from Jan 1991 to Jul 2014. The results show that the volatilities of both stock market and crude oil price...