IDEAS home Printed from https://ideas.repec.org/a/ris/utmsje/0232.html
   My bibliography  Save this article

The Performance Of Minimum Variance Portfolios In The Croatian Tourism Sector

Author

Listed:
  • Baresa, Suzana

    (University of Rijeka, Croatia)

  • Bogdan, Sinisa

    (University of Rijeka, Croatia)

  • Ivanovic, Zoran

    (University of Rijeka, Croatia)

Abstract

Croatian economy is largely dependent on tourism, the direct contribution of travel and tourism to GDP is 10.7%, while total contribution amounts 24.7%, tourism has great impact on employment also. Since tourism is one of the most important sectors for Croatian economy, the aim of this research was to analyze stock liquidity in Zagreb stock exchange and to construct efficient frontier which includes only tourism stocks. Level of liquidity for the Croatian market is generally very low, so only certain stocks which met liquidity criterium were used in this research. Currently there are 31 stocks listed on the Croatian capital market in the tourism sector, and this sector is one of the largest on the Zagreb stock exchange. Purpose of this research was to find out which performance have minimum variance portfolios in Croatian tourism sector, and to measure market risk in a portfolio using value-at-risk methodology. In this research two approaches of measuring value-at-risk methodology have been used: historical and conditional, results were compared with stock market index Crobex and explained.

Suggested Citation

  • Baresa, Suzana & Bogdan, Sinisa & Ivanovic, Zoran, 2018. "The Performance Of Minimum Variance Portfolios In The Croatian Tourism Sector," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(1), pages 63-72.
  • Handle: RePEc:ris:utmsje:0232
    as

    Download full text from publisher

    File URL: http://utmsjoe.mk/files/Vol.%209%20No.%201/UTMSJOE-2018-0901-06-Ivanovic-Bogdan-Baresa.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Antonakakis, Nikolaos & Dragouni, Mina & Filis, George, 2015. "How strong is the linkage between tourism and economic growth in Europe?," Economic Modelling, Elsevier, vol. 44(C), pages 142-155.
    2. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    3. Thomas J. Linsmeier & Neil D. Pearson, 2000. "Value at Risk," Financial Analysts Journal, Taylor & Francis Journals, vol. 56(2), pages 47-67, March.
    4. Tang, Chor Foon & Tan, Eu Chye, 2015. "Does tourism effectively stimulate Malaysia's economic growth?," Tourism Management, Elsevier, vol. 46(C), pages 158-163.
    5. Chou, Ming Che, 2013. "Does tourism development promote economic growth in transition countries? A panel data analysis," Economic Modelling, Elsevier, vol. 33(C), pages 226-232.
    6. Bogdan, Sinisa & Baresa, Suzana & Ivanovic, Zoran, 2015. "ESTIMATING RISK ON THE CAPITAL MARKET WITH VaR METHOD," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 6(1), pages 165-175.
    7. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Waheed Ahmad & Tariq Majeed & Zubaria Andlib, 2020. "Tourism Led Growth Hypothesis: Empirical Evidence From Five South Asian Countries," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 9(1), pages 51-59, March.
    2. Erdoğan, Seyfettin & Gedikli, Ayfer & Cevik, Emrah Ismail & Erdoğan, Fatma, 2022. "Eco-friendly technologies, international tourism and carbon emissions: Evidence from the most visited countries," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    3. Nisar Ahmad & Angeliki N. Menegaki & Saeed Al‐Muharrami, 2020. "Systematic Literature Review Of Tourism Growth Nexus: An Overview Of The Literature And A Content Analysis Of 100 Most Influential Papers," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1068-1110, December.
    4. Alina Badulescu & Daniel Badulescu & Ramona Simu?, 2018. "The Complex Relationship between International Tourism Demand and Economic Growth: An Analysis on Central and Eastern European Economies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 20(S12), pages 935-935, November.
    5. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    6. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    7. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    8. Guobin Fan & Eric Girardin & Wong K. Wong & Yong Zeng, 2015. "The Risk of Individual Stocks’ Tail Dependence with the Market and Its Effect on Stock Returns," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-17, November.
    9. Bartram, Sohnke M. & Brown, Gregory W. & Stulz, Rene M., 2016. "Why Does Idiosyncratic Risk Increase with Market Risk?," Working Paper Series 2016-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    10. Fabian Hollstein & Marcel Prokopczuk & Chardin Wese Simen, 2020. "The Conditional Capital Asset Pricing Model Revisited: Evidence from High-Frequency Betas," Management Science, INFORMS, vol. 66(6), pages 2474-2494, June.
    11. Paul Handro & Bogdan Dima, 2024. "Analyzing Financial Markets Efficiency: Insights from a Bibliometric and Content Review," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 119-175, May.
    12. Jank, Stephan & Roling, Christoph & Smajlbegovic, Esad, 2021. "Flying under the radar: The effects of short-sale disclosure rules on investor behavior and stock prices," Journal of Financial Economics, Elsevier, vol. 139(1), pages 209-233.
    13. Shafiqur Rahman & Matthew J. Schneider, 2019. "Tests of Alternative Asset Pricing Models Using Individual Security Returns and a New Multivariate F-Test," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-34, March.
    14. Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.
    15. Hearn, Bruce & Piesse, Jenifer & Strange, Roger, 2010. "Market liquidity and stock size premia in emerging financial markets: The implications for foreign investment," International Business Review, Elsevier, vol. 19(5), pages 489-501, October.
    16. Shiyang Huang & Xin Liu & Dong Lou & Christopher Polk, 2024. "The Booms and Busts of Beta Arbitrage," Management Science, INFORMS, vol. 70(8), pages 5367-5385, August.
    17. Nnamdi Chinwendu Nwaeze & Kingsley Ikechukwu Okere & Izuchukwu Ogbodo & Obumneke Bob Muoneke & Ifeoma Nwakaego Sandra Ngini & Samuel Uchezuike Ani, 2023. "Dynamic linkages between tourism, economic growth, trade, energy demand and carbon emission: evidence from EU," Future Business Journal, Springer, vol. 9(1), pages 1-12, December.
    18. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    19. Zhao, Xiaojuan & Wang, Ye & Liu, Weiyi, 2024. "Someone like you: Lottery-like preference and the cross-section of expected returns in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    20. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.

    More about this item

    Keywords

    Portfolio theory; illiquidity; stocks; efficient frontier; value at risk;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:utmsje:0232. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Assistant Professor. Dejan Nakovski, PhD (email available below). General contact details of provider: https://edirc.repec.org/data/feutmmk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.