IDEAS home Printed from https://ideas.repec.org/a/voj/journl/v65y2018i2p239-253id456.html
   My bibliography  Save this article

Relationship among Weather Effects, Investors' Moods and Stock Market Risk: An Analysis of Bull and Bear Markets in Taiwan, Japan and Hong Kong

Author

Listed:
  • Yi-Hsien Wang
  • Kuang-Hsun Shih
  • Je-Wei Jang

Abstract

Literature shows that weather encourages people to engage in certain behaviors and that three factors, particularly sunshine, temperature, and humidity, have the greatest psychological impact on investors (Edgar Howarth and Michael S. Hoffman, 1984). On the contrary, some results indicate that the weather has insignificant effect on investors (Ben Jacobsen and Wessel Marquering, 2008; Lu Jing Lu and Robin K. Chou, 2012).Hence, our research used three weather variables, namely temperature, humidity, and cloud cover, to detect the effects of extreme weather conditions on stock returns. The sample data used in this study consisted of the intraday data, with thirty minutes stock price, of Taiwan, Japan, and Hong Kong from 2012 to 2015.By taking into consideration the effects of asymmetric volatility, we employed the GJR-GARCH model to capture stock market returns. In addition, as the volatility of the stock market is affected by a number of economic factors, this study included the market situation, whether a bear or bull market type, as an additional condition to explore whether market condition renders the weather effects more significant. The results of this research support relevant literatures and can be used as a reference for investors. Key words: GJR-GARCH, Market situation, Whether effect, Investors sentiment.JEL: C22, G14. Literatura pokazuje da vremenski uslovi podstiču ljude da se angažuju u određenim ponašanjima i da tri faktora, posebno sunčeva svetlost, temperatura i vlažnost, imaju najveći psihološki uticaj na investitore (Edgar Howarth and Michael S. Hoffman 1984). Sa druge strane, neki rezultati ukazuju na to da vremenski uslovi imaju neznatan uticaj na investitore (Ben Jacobsen and Wessel Marquering 2008; Jing Lu and Robin K. Chou 2012). Stoga, u našem istraživanju koristimo tri vremenske promenljive, konkretno temperaturu, vlažnost i pokrivenost oblaka, kako bi otkrili efekte ekstremnih vremenskih uslova na povraćaj investiranja u akcije. Podaci korišćeni u ovom radu se odnose na dnevne podatke o ceni akcija na svakih trideset minuta u Tajvanu, Japanau i Hong Kongu od 2012. do 2015. godine. Uzimajući u obzir efekte asimetrične volatilnosti, koristili smo model GJR-GARCH kako bi odredili povraćaj na investiranje u akcije. Pored toga, s obzirom da na stabilnost berzanskog tržišta utiče niz ekonomskih faktora, ovo istraživanje uključuje tržišnu situaciju, bilo da se radi o tipu tržišta za koje je karakteristično ponašanje medveda ili o tipu tržišta za koje je karakteristično ponašanje bikova, kao dodatni uslov da se ispita da li tržišno stanje utiče na značajnost efekata vremenskih uslova. Rezultati ovog istraživanja podržavaju relevantna istraživanja iz ove oblasti i mogu se koristiti kao referenca za investitore. Ključne reči: GJR-GARCH, stanje na tržištu, vremenski efekat, raspoloženje investitora.

Suggested Citation

  • Yi-Hsien Wang & Kuang-Hsun Shih & Je-Wei Jang, 2018. "Relationship among Weather Effects, Investors' Moods and Stock Market Risk: An Analysis of Bull and Bear Markets in Taiwan, Japan and Hong Kong," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 65(2), pages 239-253.
  • Handle: RePEc:voj:journl:v:65:y:2018:i:2:p:239-253:id:456
    as

    Download full text from publisher

    File URL: https://panoeconomicus.org/index.php/jorunal/article/view/456/440
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    GJR-GARCH; market situation; whether effect; investors sentiment;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:voj:journl:v:65:y:2018:i:2:p:239-253:id:456. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Ivana Horvat (email available below). General contact details of provider: https://panoeconomicus.org/index.php/jorunal/ .

    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.