Journals / Business and Management Studies: An International Journal / 2019 / Cilt: 7 - Sayı: 1

COMPARING PORTFOLIO STRAGIES BASED ON MOMENTUM, MONETARY POLICY AND LARGE PRICE CHANGES: TRAVEL AND LEISURE SECTOR APPLICATION

MOMENTUM FAKTÖRÜ, PARA POLİTİKASI KARARLARI VE BÜYÜK FİYAT DEĞİŞİMLERİNE DAYALI YATIRIM STRATEJİLERİNİN PERFORMANSLARININ KARŞILAŞTIRILMASI: GEZİ VE REKREASYON SEKTÖRÜ UYGULAMASI

Pages
102–117
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The strategy based on large price changes shows the most successful performance when the other alternatives compared.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The travel and leisure sector is examined specifically in the area of finance due to its characteristics.
📊
Key Findings & Data:Investments in the stock market will increase sector's economic growth and employment.
💡
Conclusion & Impact:The strategy based on large price changes shows the most successful performance when the other alternatives compared.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The travel and leisure sector is examined specifically in the area of finance due to its characteristics. Stock market investments in the travel and leisure sector depends on the highest return at the specific risk level. Investments in the stock market will increase sector's economic growth and employment. The purpose of the study is to compare the performance of different strategies in travel and leisure sector of Turkey. In this study, portfolio switching strategies based on momentum, monetary policy changes and signals of large price changes are examined. Comparisons are made according to the Treynor, Sharpe and Jensen performance measurement criteria. Findings show that active portfolio strategies can be more successful than conventional buy and hold investments. The strategy based on large price changes shows the most successful performance when the other alternatives compared.

Özet

Gezi ve rekreasyon sektörü finans alanında karakteristik özellikleri nedeniyle özel olarak incelenmektedir. Gezi ve rekreasyon sektöründe pay senedi yatırımları belirli risk düzeyinde en yüksek getiri sağlandığında gerçekleşmektedir. Pay senetlerine olan yatırımlar ile birlikte sektörün ekonomik büyümesinde ve istihdam miktarında artış yaşanmaktadır. Araştırmanın amacı, Türkiye'de gezi ve rekreasyon sektörü üzerinde yatırımlarda uygulanabilecek farklı portföy değiştirme stratejilerinin performanslarını karşılaştırmaktır. Çalışmada momentum, para politikası değişimleri ve büyük fiyat değişimleri sinyallerini esas alan portföy değiştirme stratejileri incelenmiştir. Treynor, Sharpe ve Jensen ölçütlerine dayanan karşılaştırmalar gerçekleştirilmiştir. Elde edilen bulgular izlenecek portföy değiştirme stratejilerinin klasik satın al ve elde tut yatırımlarına göre daha başarılı olabileceğini göstermektedir. Riske dayalı performans ölçütleri, getiri ve portföy değeri açısından karşılaştırma yapıldığında büyük fiyat değişimlerine bağlı olarak oluşturulan strateji en başarılı performansı göstermektedir

🔖

Cite This Article

SEVİL, T., POLAT, A. (2019). COMPARING PORTFOLIO STRAGIES BASED ON MOMENTUM, MONETARY POLICY AND LARGE PRICE CHANGES: TRAVEL AND LEISURE SECTOR APPLICATION. Business and Management Studies: An International Journal, Cilt: 7 - Sayı: 1, 102–117. https://ajindex.com/articles/160053

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Ahmad, W., & Adaoglu, C. (2019). Cash management in the travel and leisure sector: evidence from the United Kingdom. Applied Economics Letters, 26(7), 618-621.
  2. Al-Najjar, B. (2017). Corporate governance and CEO pay: Evidence from UK Travel and Leisure listed firms. Tourism Management, 60, 9-14.
  3. Alrabadi, D. W. H., & Aljarayesh, N. I. A. (2015). Forecasting Stock Market Returns Via Monte Carlo Simulation: The Case of Amman Stock Exchange. Jordan Journal of Business Administration, 11(3). 745-756.
  4. Andrikopoulos, A., Merika, A. A., & Merikas, A. G. (2016). Financial disclosure in the travel and leisure industry. International Journal of Tourism Research, 18(6), 612-619.
  5. Arshanapalli, B. G., Switzer, L. N., & Panju, K. (2007). Equity-style timing: A multi-style rotation model for the Russell large-cap and small-cap growth and value style indexes. Journal of Asset Management, 8(1), 9-23.
  6. Balvers, R., Wu, Y., & Gilliland, E. (2000). Mean reversion across national stock markets and parametric contrarian investment strategies. The Journal of Finance, 55(2), 745-772.
  7. Balvers, R., & Wu, Y. (2002).
  8. Stock Market Integration, Return Forecastability and Implications for Market Efficiency: A Panel Study (No. 112002). Hong Kong Institute for Monetary Research. Basistha, A., & Kurov, A. (2008). Macroeconomic cycles and the stock market’s reaction to monetary policy. Journal of Banking & Finance, 32(12), 2606-2616.
  9. Bauer, R., Derwall, J., & Molenaar, R. (2004). The real-time predictability of the size and value premium in Japan. Pacific-Basin Finance Journal, 12(5), 503-523.
  10. Bhalla, V. K. (2008). Investment Management. S. Chand Publishing. Bodie, Z., Kane, A., & Marcus, A. (2003).
  11. Investments McGraw-Hill Irwin. Cave, J., Gupta, K., & Locke, S. (2009). Supply-side investments: An international analysis of the return and risk relationship in the Travel & Leisure sector. Tourism Management, 30(5), 665-673.
  12. Chen, S. S. (2009). Predicting the bear stock market: Macroeconomic variables as leading indicators. Journal of Banking & Finance, 33(2), 211-223.
  13. Chow, K. V., & Hu, O. (2004). Conditional Mean Dominance: Testing for Sufficiency of Anomalies. Department of Economics, West Virginia University Working Papers. Döpke, J., Hartmann, D., & Pierdzioch, C. (2008). Real-time macroeconomic data and ex ante stock return predictability. International Review of Financial Analysis, 17(2), 274-290.
  14. Jensen, M. C. (1968). The performance of mutual funds in the period 1945–1964. The Journal o