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Time-frequency information transmission among financial markets: evidence from implied volatility
by
Elheddad, Mohamed
, Farid, Saqib
, Qureshi, Fiza
, Naeem, Muhammad Abubakr
, Tiwari, Aviral Kumar
in
Crude oil
/ Default
/ Diversification
/ Econometrics
/ Economic crisis
/ Efficient markets
/ Empirical analysis
/ Gold
/ Hedging
/ Heterogeneity
/ Hypotheses
/ International finance
/ Investors
/ Portfolio investments
/ Precious metals
/ Securities markets
/ Securities prices
/ Stochastic models
/ Time-frequency analysis
/ Volatility
2024
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Time-frequency information transmission among financial markets: evidence from implied volatility
by
Elheddad, Mohamed
, Farid, Saqib
, Qureshi, Fiza
, Naeem, Muhammad Abubakr
, Tiwari, Aviral Kumar
in
Crude oil
/ Default
/ Diversification
/ Econometrics
/ Economic crisis
/ Efficient markets
/ Empirical analysis
/ Gold
/ Hedging
/ Heterogeneity
/ Hypotheses
/ International finance
/ Investors
/ Portfolio investments
/ Precious metals
/ Securities markets
/ Securities prices
/ Stochastic models
/ Time-frequency analysis
/ Volatility
2024
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Time-frequency information transmission among financial markets: evidence from implied volatility
by
Elheddad, Mohamed
, Farid, Saqib
, Qureshi, Fiza
, Naeem, Muhammad Abubakr
, Tiwari, Aviral Kumar
in
Crude oil
/ Default
/ Diversification
/ Econometrics
/ Economic crisis
/ Efficient markets
/ Empirical analysis
/ Gold
/ Hedging
/ Heterogeneity
/ Hypotheses
/ International finance
/ Investors
/ Portfolio investments
/ Precious metals
/ Securities markets
/ Securities prices
/ Stochastic models
/ Time-frequency analysis
/ Volatility
2024
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Time-frequency information transmission among financial markets: evidence from implied volatility
Journal Article
Time-frequency information transmission among financial markets: evidence from implied volatility
2024
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Overview
In this paper, we utilize the Chicago Board Option Exchange (CBOE) implied volatility indices to estimate the time-frequency information transmission among financial markets from 01.08.2008 to 31.10.2019. In doing so, we utilize the rolling window wavelet correlation (RWWC), Diebold & Yilmaz (The Economic Journal 119: 158–171, 2012), and Barunik & Krehlik (Journal of Financial Econometrics 16: 271–296, 2018). Our empirical findings suggest short-term and long-term dynamic connectedness between implied volatility indices of alternative assets. The long-term analysis findings suggest potential hedging and diversification opportunities that can be exploited by taking offsetting positions across volatility indices. The findings confirm heterogeneity between short-term and long-term connectedness results. Our findings also show superior out of sample hedging effectiveness of GVZ. The implications of the findings are further discussed in the paper.
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