This study investigates the presence of intraday patterns in the eleven sectors of the United States (U.S.) economy. Key contributions are in terms of assessing (i) risk and return patterns at specific time periods of the trading session on the New York Stock Exchange (NYSE), (ii) whether a...

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...

Using CFTC's COT data, both GARCH and PARCH volatility based models found the lagged volatility and news about volatility from the previous month to be significant in explaining large hedgers' and speculators' volatility. The greater reliance on the ARCH term for speculators' suggested their...

Using the Commodity Futures Trading Commission's Commitments of Traders data, considering both the generalized autoregressive conditional heteroskedasticity (GARCH) and the power ARCH volatility-based models, it has been found that the lagged volatility and the news about volatility from the...