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Open AccessJournal ArticleDOI

Does behavioural theory explain return-implied volatility relationship? Evidence from India

Prasenjit Chakrabarti, +1 more
- 28 Jul 2017 - 
- Vol. 5, Iss: 1, pp 1355521-1355521
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TLDR
In this article, the authors investigated whether behavioural theory is a superior explanation for short-term return-volatility relationship than traditional leverage and volatility feedback hypotheses, and they showed that behavioural theory explains the relationship better than the leverage and feedback hypotheses.
Abstract
The study investigates whether behavioural theory is a superior explanation for short-term return–volatility relationship than traditional leverage and volatility feedback hypotheses. Using VAR and quantile regression frameworks, the study shows that behavioural theory explains the relationship better than the leverage and feedback hypotheses. The study supports that behavioural biases (representative, affect, extrapolation heuristics, etc.) exist among market participants, and these biases cause India Volatility Index (India VIX) to be an efficient hedge for extreme negative market movements.

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Does Implied Volatility (or Fear Index) affect Islamic Stock Returns and Conventional Stock Returns Differently? Wavelet-based Granger-Causality, Asymmetric Quantile Regression and NARDL approaches

TL;DR: In this article , the authors make an initial attempt to compare the asymmetric reaction of Islamic and conventional stock returns to implied volatility using Wavelet-based Granger causality, asymmetric quantile regression model (QRM), and NARDL for the sample period from 2008 to 2019.
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Asymmetric relationship between implied volatility, index returns and trading volume: an application of quantile regression model

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References
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Book ChapterDOI

Prospect theory: an analysis of decision under risk

TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.
Book

Judgment Under Uncertainty: Heuristics and Biases

TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
Journal ArticleDOI

The Pricing of Options and Corporate Liabilities

TL;DR: In this paper, a theoretical valuation formula for options is derived, based on the assumption that options are correctly priced in the market and it should not be possible to make sure profits by creating portfolios of long and short positions in options and their underlying stocks.
Journal ArticleDOI

On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks

TL;DR: In this article, a modified GARCH-M model was used to find a negative relation between conditional expected monthly return and conditional variance of monthly return, using seasonal patterns in volatility and nominal interest rates to predict conditional variance.
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