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Full-Text Articles in Finance and Financial Management
Intraday Algorithmic Trading Using Momentum And Long Short-Term Memory Network Strategies, Andrew R. Whitinger Ii
Intraday Algorithmic Trading Using Momentum And Long Short-Term Memory Network Strategies, Andrew R. Whitinger Ii
Undergraduate Honors Theses
Intraday stock trading is an infamously difficult and risky strategy. Momentum and reversal strategies and long short-term memory (LSTM) neural networks have been shown to be effective for selecting stocks to buy and sell over time periods of multiple days. To explore whether these strategies can be effective for intraday trading, their implementations were simulated using intraday price data for stocks in the S&P 500 index, collected at 1-second intervals between February 11, 2021 and March 9, 2021 inclusive. The study tested 160 variations of momentum and reversal strategies for profitability in long, short, and market-neutral portfolios, totaling 480 portfolios. …
Risk-Return Dynamics Using Leveraged Etf Options, Eliza Wampler
Risk-Return Dynamics Using Leveraged Etf Options, Eliza Wampler
Undergraduate Honors Theses
This study uses barbell strategies on the S&P 500 and the NASDAQ 100 to explore if funds invested primarily in fixed income assets with a portion of the investment placed in in-the-money call options can participate in upside potential, while also reducing risk. This study examines call options on the underlying indexes as well as their leveraged, 2x and 3x, counterparts. The barbell strategy studied, 88% in fixed income bonds and 12% in call options, does not have a higher return than the underlying index, and adds additional risk. However, a weighted portfolio with combinations of a risk-free asset and …
The Relationship Between Twitter Mentions & Stock Volatility During Trading Hours, Connor Day
The Relationship Between Twitter Mentions & Stock Volatility During Trading Hours, Connor Day
Undergraduate Honors Theses
A new paradigm in investing has been created where people have easier access than ever to invest in the stock market from the convenience of their phones. Through zero-commission trading apps, like Robinhood, less starting capital is required. This research is used to investigate the relationship between the frequency of social media mentions on Twitter and a particular stock’s volatility. This will be done using the qualitative data analyzing tool AtlasTi to calculate the frequency in which a particular stock ticker is mentioned on Twitter during trading hours. The volatility of the stock will be calculated using data from Yahoo! …