Jul 31, 2023 · In this paper, we introduce a stock recommendation model driven by the aggregate behaviour of institutional investors. We interpret stocks as the states of a ...
Abstract. Institutional investors like hedge funds are particularly resilient in times of volatility, primarily due to their access to a.
We interpret stocks as the states of a Markov chain. The corresponding state transition matrix is defined based on the aggregate behaviour of investors. By ...
We interpret stocks as the states of a Markov chain. The corresponding state transition matrix is defined based on the aggregate behaviour of investors. By ...
Interpreting institutional investment activity as a markov process: A stock recommender. N Nayanar. Intelligent Decision Technologies 17 (3), 673-685, 2023.
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mc_sr mc_sr Public. Interpreting institutional investment activity as a markov process: A stock recommender. Python 1 ... Generate a score for insider trading ...
A Practical Machine Learning Approach for Dynamic Stock ...
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Interpreting institutional investment activity as a markov process: A stock recommender · Nikhil Nayanar. Economics, Mathematics. Intell. Decis. Technol. 2023.
Interpreting institutional investment activity as a markov process: A stock recommende ... ” In this paper, we introduce a stock recommendation model ...
In this paper, we propose a practical scheme that recommends stocks from S&P 500 using machine learning. Our basic idea is to buy and hold the top 20% stocks�...