Innovative Numerical Model of the Relevance of the Stock Exchange of Thailand
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Abstract
This Research studied the correlation between Independent Variables of Intangible Assets (INT), Cash flow from Operating Activities (CFO), Cash flow from Investing Activities (CFI), Cash flow from Financing Activities (CFF), Earnings Before Interest and Tax (EBIT), and Net Income (NI) with Dependent Variable, Stock Price (Price), whereas Controllable Variables are Leverage and Size. Financial statement reports are collected from Listed Companies of Stock Market of Thailand, which are printing businesses, during B.E. 2561 – 2565. Research results found that there were 3 Independent Variables, which are INT, CFO, and CFI not correlated between Price. In contrast, the
correlation between CFF, EBIT, and NI is significantly with Price.The five models highlight the correlation between stock prices and potential returns. Thus, investors should consider their portfolios, evaluating returns and security prices, as a pivotal step in investment decision. The study found that intangible assets, cash flow from operating and investing activities had no significant correlation with stock prices, while cash flow from financing activities, earnings before interest and tax, and net income showed significant correlations. The research provided five models to help investors assess the connection between these financial factors and stock prices, emphasizing the
importance of considering these variables in investment decisions for Thai printing companies. In conclusion, your
researchunderscores the importanceof considering specific financial variables whenevaluating investmentopportunities in Thai printing companies. By identifying which financial factors have a significant impact on stock prices,
investors can make more informed decisions to potentially enhance their portfolios and achieve better returns.
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References
Cohen, J., Cohen, P., West, S.G. and Aiken, L.S., 2013. Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
Landau, S., & Everitt, B. S. (2003). A handbook of statistical analyses using SPSS. Chapman and Hall/CRC.
Hair, J.F., Anderson, R.E., Babin, B.J. and Black, W.C. (2009), Multivariate Data Analysis (7th Ed.),
Prentice Hall. ACM.
Hales, J., & Orpurt, S. F. (2013). A review of academic research on the reporting of cash flows from operations. Accounting Horizons, 27(3), 539-578.
Jones, S., Romano, C. A., & Smyrnios, K. X. (1995). An evaluation of the decision usefulness of cash flow statements by Australian reporting entities. Accounting and Business Research, 25(98), 115-129.
Dimitrijević, D. (2015). The detection and prevention of manipulations in the balance sheet and the cash flow statement. Ekonomski horizonti, 17(2), 137-153.
Gregory, G. (1976). Cash flow models: a review. Omega, 4(6), 643-656.
Bhandari, S. B., & Adams, M. T. (2017). On the definition, measurement, and use of the free cash flow concept in financial reporting and analysis: a review and recommendations. Journal of Accounting and Finance, 17(1), 11-19.
Mulenga, M., & Bhatia, M. (2017). The review of literature on the role of earnings, cash flows and accruals in predicting of future cash flows. Accounting and finance Research, 6(2), 59-70.
Charitou, A. G., & Venieris, G. (1990). The need for cash flow reporting: Greek evidence. The British Accounting Review, 22(2), 107-117.
Drake, M. S., Myers, J. N., & Myers, L. A. (2009). Disclosure quality and the mispricing of accruals and cash flow. Journal of Accounting, Auditing & Finance, 24(3), 357-384.
Campbell, J. Y. (1999). Asset prices, consumption, and the business cycle. Handbook of macroeconomics, 1, 1231-1303.
Campbell, J. Y. (1999). Asset prices, consumption, and the business cycle. Handbook of macroeconomics, 1, 1231-1303.
Mishkin, F. S. (2001). The transmission mechanism and the role of asset prices in monetary policy.
Degiannakis, S., Filis, G., & Arora, V. (2018). Oil prices and stock markets: A review of the theory and empirical evidence. The Energy Journal, 39(5).
Ghysels, E., Plazzi, A., Valkanov, R., & Torous, W. (2013). Forecasting real estate prices. Handbook of economic forecasting, 2, 509-580.