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The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance

The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance ArXiv ID: 2402.17194 “View on arXiv” Authors: Unknown Abstract The stock market is a crucial component of the financial market, playing a vital role in wealth accumulation for investors, financing costs for listed companies, and the stable development of the national macroeconomy. Significant fluctuations in the stock market can damage the interests of stock investors and cause an imbalance in the industrial structure, which can interfere with the macro level development of the national economy. The prediction of stock price trends is a popular research topic in academia. Predicting the three trends of stock pricesrising, sideways, and falling can assist investors in making informed decisions about buying, holding, or selling stocks. Establishing an effective forecasting model for predicting these trends is of substantial practical importance. This paper evaluates the predictive performance of random forest models combined with artificial intelligence on a test set of four stocks using optimal parameters. The evaluation considers both predictive accuracy and time efficiency. ...

February 27, 2024 · 2 min · Research Team

Trend patterns statistics for assessing irreversibility in cryptocurrencies: time-asymmetry versus inefficiency

Trend patterns statistics for assessing irreversibility in cryptocurrencies: time-asymmetry versus inefficiency ArXiv ID: 2307.08612 “View on arXiv” Authors: Unknown Abstract In this paper, we present a measure of time irreversibility using trend pattern statistics. We define the irreversibility index as the Kullback-Leibler divergence between the distribution of uptrends subsequences (increasing trends) and the corresponding downtrends subsequences distribution (decreasing trends) in a time series. We use this index to analyze the degree of irreversibility in log return series over time, specifically focusing on five cryptocurrencies: Bitcoin, Ethereum, Ripple, Litecoin, and Bitcoin Cash. Our analysis reveals a strong indication of irreversibility in all these cryptocurrencies and the characteristic evolves over time. We additionally evaluate the market efficiency for these cryptocurrencies based on a recently proposed information-theoretic measure. By comparing inefficiency and irreversibility, we explore the relationship between these statistical features. This comparison provides insight into the non-trivial relationship between inefficiency and irreversibility. ...

June 28, 2023 · 2 min · Research Team