We analyze the dynamics of price jumps and the impact of the European debt crisis using the high-frequency data reported by selected stock exchanges on the European continent during the period January 2008 to June 2012. We employ two methods to identify price jumps: Method 1 minimizes the...

We analyze the behavior and performance of multiple price jump indicators across markets and over time. By using high-frequency stock market data we identify clusters of price jump indicators that share similar properties in terms of their performance in that they minimize Type I and Type II...

This paper investigates possible drivers of volatility in the South African rand since the onset of the global financial crisis. We assess the role played by local and international economic surprises, commodity price volatility, global market risk perceptions, and local political uncertainty....

This paper investigates the role of Fibonacci retracements levels, a popular technical analysis indicator, in predicting stock prices of leading U.S. energy companies and energy cryptocurrencies. The study methodology focuses on applying Fibonacci retracements as a system compared with the...

We analyze contributions of different markets to price discovery on traded inflation expectations and how it changed during the financial crisis. The quicker information is processed on one market and the less one market is disrupted by the financial crisis the more valuable is its information...

This paper provides empirical evidence for the difference in variance risk premium in the U.S. against other economies (VPI) having significant predictive power on monthly U.S. Dollar movements. The predictive power of VPI is rationalized by the variance risk premium's economic interpretation...

In this paper, the effects of the US stock market returns, exchange rate changes and volatilities on stock market volatilities in 10 emerging market economies between 2000-2013 (also two sub-periods covering the time between 2000-2007, and between 2008-2013) have been analysed with separate 30...

We present a novel predictor for the Dollar factor: variance risk premia imbalances (VPI), defined as the difference in variance risk premium in the U.S. and non-U.S. countries. We argue that VPI theoretically proxies the difference in volatility between U.S. and non-U.S. stochastic discount...

This paper examines the evidence regarding predictability in the market risk premium using artificial neural networks (ANNs), namely the Elman Network (EN) and the Higher Order Neural network (HONN), univariate ARMA and exponential smoothing techniques, such as Single Exponential Smoothing (SES)...