Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis
This study examined the efficacy of the Put–Call Ratio (PCR), a widely used information ratio measured in terms of volume and open interest, in predicting market return at different time scale. Volume PCR was found to be an efficient predictor of the market return in a short period of 2.5...
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doaj-d3ff5ba3efc04b53a8e96329bd1258de2020-11-24T22:29:48ZengMDPI AGEconomies2227-70992019-03-01712410.3390/economies7010024economies7010024Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality AnalysisSangram Keshari Jena0Aviral Kumar Tiwari1Amarnath Mitra2Department of Finance, IBS Hyderabad, IFHE University, Hyderabad 501203, IndiaDepartment of Finance, Control and Law, Montepellier Business School, 34000 Montepelllier, FranceDepartment of Operations and Quantitative Methods, International Management Institute, New Delhi 110016, IndiaThis study examined the efficacy of the Put–Call Ratio (PCR), a widely used information ratio measured in terms of volume and open interest, in predicting market return at different time scale. Volume PCR was found to be an efficient predictor of the market return in a short period of 2.5 days and open interest PCR in a long period of 12 days. Thus, traders and portfolio managers should use the appropriate PCR depending upon the time horizon of their trade and investment. The results are robust even after controlling for the information generated from the futures market.https://www.mdpi.com/2227-7099/7/1/24Put–Call Ratiovolumeopen interestfrequency-domain roiling causality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sangram Keshari Jena Aviral Kumar Tiwari Amarnath Mitra |
spellingShingle |
Sangram Keshari Jena Aviral Kumar Tiwari Amarnath Mitra Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis Economies Put–Call Ratio volume open interest frequency-domain roiling causality |
author_facet |
Sangram Keshari Jena Aviral Kumar Tiwari Amarnath Mitra |
author_sort |
Sangram Keshari Jena |
title |
Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis |
title_short |
Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis |
title_full |
Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis |
title_fullStr |
Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis |
title_full_unstemmed |
Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis |
title_sort |
put–call ratio volume vs. open interest in predicting market return: a frequency domain rolling causality analysis |
publisher |
MDPI AG |
series |
Economies |
issn |
2227-7099 |
publishDate |
2019-03-01 |
description |
This study examined the efficacy of the Put–Call Ratio (PCR), a widely used information ratio measured in terms of volume and open interest, in predicting market return at different time scale. Volume PCR was found to be an efficient predictor of the market return in a short period of 2.5 days and open interest PCR in a long period of 12 days. Thus, traders and portfolio managers should use the appropriate PCR depending upon the time horizon of their trade and investment. The results are robust even after controlling for the information generated from the futures market. |
topic |
Put–Call Ratio volume open interest frequency-domain roiling causality |
url |
https://www.mdpi.com/2227-7099/7/1/24 |
work_keys_str_mv |
AT sangramkesharijena putcallratiovolumevsopeninterestinpredictingmarketreturnafrequencydomainrollingcausalityanalysis AT aviralkumartiwari putcallratiovolumevsopeninterestinpredictingmarketreturnafrequencydomainrollingcausalityanalysis AT amarnathmitra putcallratiovolumevsopeninterestinpredictingmarketreturnafrequencydomainrollingcausalityanalysis |
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