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Methodology for Building Trader's Investment Strategy Based on Assessment of the Market Value of the Company

Author

Listed:
  • Artem Stopochkin
  • Inessa Sytnik
  • Janusz Wielki
  • Nataliia Zemlianska

Abstract

Purpose: The purpose of this research is the formation of a methodology for investment decision making by a trader in the stock market, based on the enterprise value indicators. Design/Methodology/Approach: The methodology for making investment decisions of a stock trader is based on a method of descriptive statistics used to describe the findings of the analysis of the dynamics of selected indicators characterizing the level of the company’s shares market value, a method of grouping statistical data used in the process of forming groups of selected indicators characterizing the level of shares market value, a сombinating method used for building a trader’s investment strategy and choosing the optimal combination of financial indicators (as well as ranking the formed combinations by profitability) that characterize the level of the market value of the company’s shares in the process of investment decision making. Findings: The findings of the study revealed that to eliminate financial risks and increase the efficiency of trading operations in the stock market, the trader’s investment strategy can be based on an economic and mathematical analysis of a set of indicators that evaluate the company’s market value. The combinatorics method and regression analysis method can be efficiently used as methods of building a trader’s investment strategy. Practical Implications: The proposed methodology allows to comprehensively assess the level of the enterprise value and on the basis of which is possible to develop an effective trader’s investment strategy, which can become a practical tool in conducting investment operations. Originality/Value: The use of the combinatorics method allows us to adjust the trading (investment) strategy of the trader to the specifics of the external and internal factors of functioning of each individual company and also provide a comprehensive tool for investment decisions making.

Suggested Citation

  • Artem Stopochkin & Inessa Sytnik & Janusz Wielki & Nataliia Zemlianska, 2021. "Methodology for Building Trader's Investment Strategy Based on Assessment of the Market Value of the Company," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 913-935.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:1:p:913-935
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    as
    1. Nathalie Oriol & Iryna Veryzhenko, 2019. "Market structure or traders' behavior? A multi agent model to assess flash crash phenomena and their regulation," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1075-1092, July.
    2. Elena Asparouhova & Peter Bossaerts, 2017. "Experiments on Percolation of Information in Dark Markets," Economic Journal, Royal Economic Society, vol. 127(605), pages 518-544, October.
    3. Muhammad Zubair Tauni & Zulfiqar Ali Memon & Hong-Xing Fang & Khalil Jebran & Tanveer Ahsan, 2019. "Influence of Investor and Advisor Big Five Personality Congruence on Futures Trading Behavior," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(15), pages 3615-3630, December.
    4. Fei Su & Lei Wang, 2020. "Conditional Volatility Persistence and Realized Volatility Asymmetry: Evidence from the Chinese Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(14), pages 3252-3269, November.
    5. Spyros I. Spyrou, 2020. "Valuation ratio style investing and economic sentiment: evidence from major Eurozone markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 827-856, October.
    6. Jin Guo, 2015. "Causal relationship between stock returns and real economic growth in the pre- and post-crisis period: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 12-31, January.
    7. Bao, Jack & Hou, Kewei & Zhang, Shaojun, 2023. "Systematic default and return predictability in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 149(3), pages 349-377.
    8. Izunna Anyikwa & Pierre Le Roux, 2020. "Integration of African Stock Markets with the Developed Stock Markets: An Analysis of Co-Movements, Volatility and Contagion," International Economic Journal, Taylor & Francis Journals, vol. 34(2), pages 279-296, April.
    9. Zhang, Weiping & Zhuang, Xintian & Lu, Yang & Wang, Jian, 2020. "Spatial linkage of volatility spillovers and its explanation across G20 stock markets: A network framework," International Review of Financial Analysis, Elsevier, vol. 71(C).
    10. Marcus Cordi & Damien Challet & Serge Kassibrakis, 2021. "The market nanostructure origin of asset price time reversal asymmetry," Quantitative Finance, Taylor & Francis Journals, vol. 21(2), pages 295-304, February.
    11. James Primbs & Muruhan Rathinam, 2009. "Trader Behavior and its Effect on Asset Price Dynamics," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(2), pages 151-181.
    12. Eleftherios Thalassinos & Theodore V. Stamatopoulos, 2015. "The Trilemma and the Eurozone: A Pre-announced Tragedy of the Hellenic Debt Crisis," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 27-40.
    13. Xiyong Dong & Changhong Li & Seong-Min Yoon, 2020. "Exogenous shocks, dynamic correlations, and portfolio risk management for the Asian emerging and other global developed and emerging stock markets," Applied Economics, Taylor & Francis Journals, vol. 52(43), pages 4745-4764, September.
    14. Rong Li & Sufang Li & Di Yuan & Keming Yu, 2020. "Does economic policy uncertainty in the U.S. influence stock markets in China and India? Time-frequency evidence," Applied Economics, Taylor & Francis Journals, vol. 52(39), pages 4300-4316, August.
    15. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    16. Margarida Abreu & Victor Mendes, 2020. "Do individual investors trade differently in different financial markets?," The European Journal of Finance, Taylor & Francis Journals, vol. 26(13), pages 1253-1270, July.
    17. Brice Corgnet & Mark DeSantis & David Porter, 2015. "What Makes a Good Trader? On the Role of Quant Skills, Behavioral Biases and Intuition on Trader Performance," Working Papers 15-17, Chapman University, Economic Science Institute.
    18. Cueva, Carlos & Iturbe-Ormaetxe, Iñigo & Ponti, Giovanni & Tomás, Josefa, 2019. "An experimental analysis of the disposition effect: Who and when?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 81(C), pages 207-215.
    19. Spyridon Spyrou, 2019. "Valuation Ratio Style Investing and Economic Sentiment in Eurozone Markets," Proceedings of International Academic Conferences 8710715, International Institute of Social and Economic Sciences.
    20. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    21. Wenlong Zhang & Yanying Zhang & Gaiyan Zhang & Ke Han & Lirong Chen, 2020. "The Dynamic Industry Return Predictability: Evidence from Chinese Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(9), pages 2007-2026, July.
    22. Alex Imas, 2016. "The Realization Effect: Risk-Taking after Realized versus Paper Losses," American Economic Review, American Economic Association, vol. 106(8), pages 2086-2109, August.
    23. Ron Bird & Lorenzo Casavecchia, 2007. "Sentiment and Financial Health Indicators for Value and Growth Stocks: The European Experience," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 769-793.
    24. Carlos Cueva Herrero & Iñigo Iturbe-Ormaetxe Kortajarene & Giovanni Ponti & Josefa Tomás Lucas, 2016. "The disposition effect: who and when?," Working Papers. Serie AD 2016-01, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    25. Cary Frydman & Nicholas Barberis & Colin Camerer & Peter Bossaerts & Antonio Rangel, 2014. "Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility," Journal of Finance, American Finance Association, vol. 69(2), pages 907-946, April.
    26. Margarida Abreu & Victor Mendes, 2018. "Do Individual Investors Trade Differently in Different Markets?," Working Papers Department of Economics 2018/01, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    27. Pätäri, Eero & Karell, Ville & Luukka, Pasi & Yeomans, Julian S, 2018. "Comparison of the multicriteria decision-making methods for equity portfolio selection: The U.S. evidence," European Journal of Operational Research, Elsevier, vol. 265(2), pages 655-672.
    28. Thierry Kirat & Amir Rezaee, 2019. "How stock markets react to regulatory sanctions? Evidence from France," Applied Economics, Taylor & Francis Journals, vol. 51(60), pages 6558-6566, December.
    29. Doojin Ryu & Heejin Yang, 2020. "Noise traders, mispricing, and price adjustments in derivatives markets," The European Journal of Finance, Taylor & Francis Journals, vol. 26(6), pages 480-499, April.
    30. Erginbay Ugurlu & Eleftherios Thalassinos & Yusuf Muratoglu, 2014. "Modeling Volatility in the Stock Markets using GARCH Models: European Emerging Economies and Turkey," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 72-87.
    31. Elena Asparouhova & Peter Bossaerts, 2017. "Experiments on Percolation of Information in Dark Markets," Economic Journal, Royal Economic Society, vol. 127(605), pages 518-544.
    32. Muhammad Zubair Tauni & Zulfiqar Ali Memon & Hong-Xing Fang & Khalil Jebran & Tanveer Ahsan, 2019. "Influence of Investor and Advisor Big Five Personality Congruence on Futures Trading Behavior," Post-Print hal-02463194, HAL.
    33. Qing He & Junyi Liu & Sizhu Wang & Jishuang Yu, 2020. "The impact of COVID-19 on stock markets," Economic and Political Studies, Taylor & Francis Journals, vol. 8(3), pages 275-288, July.
    34. Tomás Gómez-Navarro & Mónica García-Melón & Francisco Guijarro & Marion Preuss, 2018. "Methodology to assess the market value of companies according to their financial and social responsibility aspects: An AHP approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(10), pages 1599-1608, October.
    35. Angie ANDRIKOGIANNOPOULOU & Filippos PAPAKONSTANTINOU, 2015. "History-Dependent Risk Preferences: Evidence from Individual Choices and Implications for the Disposition Effect," Swiss Finance Institute Research Paper Series 15-11, Swiss Finance Institute, revised Jul 2015.
    36. Huy Pham & Van Nguyen & Vikash Ramiah & Kashif Saleem & Nisreen Moosa, 2019. "The effects of the Paris climate agreement on stock markets: evidence from the German stock market," Applied Economics, Taylor & Francis Journals, vol. 51(57), pages 6068-6075, December.
    37. K. Ahn & D. Lee & S. Sohn & B. Yang, 2019. "Stock market uncertainty and economic fundamentals: an entropy-based approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1151-1163, July.
    38. El Mehdi Ferrouhi, 2021. "Herding Behavior in the Moroccan Stock Exchange," Journal of African Business, Taylor & Francis Journals, vol. 22(3), pages 309-319, July.
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    More about this item

    Keywords

    Stock market; trader strategy; investment decisions; company value; combinatorics method.;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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