Volume 20 No 12 (2022)
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AN ANALYSIS OF CORRELATION BETWEEN INDIAN FINANCIAL MARKETS AND THE DOLLAR PRICE, EXPLORING THE IMPACT OF CURRENCY MOVEMENTS ON STOCK PRICES AND INVESTOR SENTIMENT
Bharath Kundala, Ravi Chelimela, G. Anusha, Dr. Sudhakar Madhavedi
Abstract
This study investigates the complex interplay between public sentiment, as captured through news titles and descriptions, and the stock prices of three major tech companies: Microsoft (MSFT), Tesla (TSLA), and Apple (AAPL). Leveraging advanced analytical methods including Pearson correlation, wavelet coherence, and regression analysis, this research probes the degree to which stockprice fluctuations can be attributed to the polarity of media sentiment. The methodology combines statistical techniques to assess sentiment’s predictive power for stock opening and closing prices, while wavelet coherence analysis unveils the temporal dynamics of these relationships. The results demonstrate a significant correlation between sentiment polarity and stock prices, with description polarity affecting Microsoft’s opening prices, title polarity influencing Tesla’s opening prices, and a positive impact of title polarity on Apple’s closing prices. However, Tesla’s stock showed no significant coherence, indicating a potential divergence in how sentiment affects stock behavior across companies. The study highlights the importance of sentiment analysis in forecasting stock-market trends, revealing not only direct correlations but also lagged influences on stock prices. Despite its focus on large-cap tech firms, this research provides a foundational understanding of sentiment’s financial implications, suggesting further investigation into smaller firms and other market sectors.
Keywords
sentiment analysis; stock-market prediction; wavelet coherence analysis; media influence on stocks
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