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An Empirical Study Applying Log Periodic Structures for Prediction of Realty Market Crashes in India

Author

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  • Varun Sarda
  • Yamini Karmarkar
  • Neha Lakhotia Sarda

Abstract

The real estate market comprise of one of the most basic requirements of a human being that is shelter. A lot of money of the owners of the properties is invested in this market across the globe. The volatility in the real estate or realty market affects each and every human being. The crashes in the market lead to erosion of a large amount of value in terms of money, so if a technique is developed that can predict the upcoming crash, then this can help avoid losses of the investors. The present study tries to analyse downward movements in the Indian realty market by applying log-periodic structures. The period of the study is 1997–2011. The crashes were not predicted by using log-periodic structures as per the findings of the study. Thus the study concludes that it may not be appropriate to apply log-periodic structures to predict crashes of realty market in India.

Suggested Citation

  • Varun Sarda & Yamini Karmarkar & Neha Lakhotia Sarda, 2019. "An Empirical Study Applying Log Periodic Structures for Prediction of Realty Market Crashes in India," Vision, , vol. 23(4), pages 357-363, December.
    • Handle: RePEc:sae:vision:v:23:y:2019:i:4:p:357-363
    DOI: 10.1177/0972262919850919
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    References listed on IDEAS

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