Using a vector error correction model I test whether shocks in the funding liquidity conditions in the U.S. and Europe separately explain deviations from the covered interest parity (CIP) between the U.S. Dollar and the Mexican Peso. I find that: (1) Apparent deviations from the CIP seem to be...

In the paper we present the application of risk neutral measure estimation in the analysis of the index WIG20 from Polish stock market. The risk neutral measure is calculated from the process of the options on that index. We assume that risk neutral measure is the mixture of lognormal...

This study focuses on the valuation of maritime companies. By using Erdogan's (1996) modified capital asset pricing approach for maritime firms, Bollerslev's (1986) General Auto Regressive Conditional Heteroskedasticity Model (GARCH) is adapted along with including the freight market effect in...

We find that exogenous structural shocks caused by terrorist attacks, wars, political turmoil and gold market specific events have a strong role to play in the analysis of dynamic relationships between gold and stock market returns. Our main finding is that the interaction between the gold...

The study examines the predictability of 48 sovereign bond markets based on a strategy of 27,000 technical trading rules. These rules represent four popular trading rule classes, they are: moving average, filtering, support and resistance, and channel breakout rules, with numerous variants in...

The VIX barely drops at macro-announcements. This is at odds with virtually all models that attempt to explain the "macro-announcement premium." We point out that the macro-announcement sample is too small, considering the high volatility and fat tail of daily returns. Our small-sample argument...

Market efficiency has been analyzed through many studies using different linear methods. However, studies on financial econometrics reveal that financial time series exhibit nonlinear patterns because of various reasons. This paper examines market efficiency at Borsa Istanbul using a smooth...

Can the degree of predictability found in the data be explained by existing asset pricing models? We provide two theoretical upper bounds on the R-squares of predictive regressions. Using data on the market and component portfolios, we find that the empirical R-squares are significantly greater...

This paper proposes a two-state predictive regression model and shows that stock market 12-month return (TMR), the time-series momentum predictor of Moskowitz, Ooi, and Pedersen (2012), forecasts the aggregate stock market negatively in good times and positively in bad times. The out-of-sample...

This article analyzed the presence of long memory in volatility in 5 Asian equity indices namely SENSEX, CNIA, NIKKEI225, KO11 and FTSTI, using 5 minutes intraday return series ranging from 05-jan-2015 to 06-Aug-2015. The study employed ARFIMA-FIGARCH model and ARFIMA-APARCH model and compared...