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Investing in the long-term: an empirical approach

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  • Samuel Tabot Enow

    (Research Associate, The IIE VEGA School)

Abstract

There has been a proliferation of numerous investment strategies over the years, but one strategy is perceived to have stood the test of time. Investing in the foreseeable future is favored by many successful long-term investors which focus on maintaining a long-term investment horizon. Investing in the long term involves purchasing assets and holding onto them for an extended period, regardless of short-term market fluctuations. Exploring the benefits of this method can help investors make informed selections and build a disciplined investment mindset to achieve their financial goals. The goal of this study was to empirically evaluate the merits of a purchase and hold strategy in financial markets because of its perceived considerable influence on active market players. A Sharpe ratio was utilized for six financial markets from June 13, 2018, to June 13, 2023. The findings revealed that market participants can achieve a sustainable return by simply maintaining a long-term view of their portfolios. This was evident in the Nasdaq, CAC 40 and Nikkei 225. Upon selecting a particular risk tolerance and investment horizon, market participants may earn significant returns on their portfolios. Key Words:Buy and Hold strategy; Financial markets; Fundamental analysis; Behavioral Finance.

Suggested Citation

  • Samuel Tabot Enow, 2024. "Investing in the long-term: an empirical approach," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 13(4), pages 537-541, June.
    • Handle: RePEc:rbs:ijbrss:v:13:y:2024:i:4:p:537-541
    DOI: 10.20525/ijrbs.v13i4.3276
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    References listed on IDEAS

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    1. Helmut Gründl & Ming (Ivy) Dong & Jens Gal, 2016. "The evolution of insurer portfolio investment strategies for long-term investing," OECD Journal: Financial Market Trends, OECD Publishing, vol. 2016(2), pages 1-55.
    2. Rohnn Sanderson & Nancy L. Lumpkin-Sowers, 2018. "Buy and Hold in the New Age of Stock Market Volatility: A Story about ETFs," IJFS, MDPI, vol. 6(3), pages 1-14, September.
    3. Silvio John Camilleri & Ritienne Farrugia, 2018. "The Risk-Adjusted Performance of Alternative Investment Funds and UCITS: A Comparative Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(7), pages 1-23, July.
    4. Luigi Buzzacchi & Luca Ghezzi, 2023. "Mean Reversion Lessens Mean Blur: Evidence from the S&P Composite Index," IJFS, MDPI, vol. 11(1), pages 1-13, January.
    5. Samuel Tabot Enow, 2022. "Modelling Stock Market Prices Using the Open, High and Closes Prices. Evidence from International Financial Markets," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 15(3), pages 52-59, December.
    6. Samuel Tabot Enow, 2023. "Modelling and Forecasting volatility in International financial markets," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 12(2), pages 197-203, March.
    7. Ilia Zaznov & Julian Kunkel & Alfonso Dufour & Atta Badii, 2022. "Predicting Stock Price Changes Based on the Limit Order Book: A Survey," Mathematics, MDPI, vol. 10(8), pages 1-33, April.
    8. Samuel Tabot ENOW, 2023. "A Non-linear Dependency Test for Market Efficiency: Evidence from International Stock Markets," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 7(1), pages 1-12.
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