The motivation for this paper is to show the usefulness of the information contained in the open-to-close (day) and close-to-open (night) periods compared to the more frequently used close-to-close period. To show this we construct two versions of a contrarian strategy, where the worst...

As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable...

Almost all relevant literature has characterized implied volatility as a biased predictor of realized volatility. This paper provides new time series techniques to assess the validity of this finding within a foreign exchange market context. We begin with the empirical observation that the...

The motivation for this paper is to show that even a simple strategy based on conditional autocorrelation can give traders an edge. Our simple mean reversion strategy takes the position in a pair consisting of Exchange traded funds (ETFs) or shares based on the normalized previous period's...