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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Discrete-Time Volatility Forecasting With Persistent Leverage Effect and the Link With Continuous-Time Volatility Modeling
Fulvio Corsi, Roberto Renò
Journal of Business and Economic Statistics (2012) Vol. 30, Iss. 3, pp. 368-380
Open Access | Times Cited: 309

Showing 1-25 of 309 citing articles:

The VIX, the variance premium and stock market volatility
Geert Bekaert, Marie Hoerova
Journal of Econometrics (2014) Vol. 183, Iss. 2, pp. 181-192
Open Access | Times Cited: 714
Threshold bipower variation and the impact of jumps on volatility forecasting
Fulvio Corsi, Davide Pirino, Roberto Renò
Journal of Econometrics (2010) Vol. 159, Iss. 2, pp. 276-288
Open Access | Times Cited: 522
Economic policy uncertainty and stock market volatility
Li Liu, Tao Zhang
Finance research letters (2015) Vol. 15, pp. 99-105
Open Access | Times Cited: 477
Forecasting the volatility of crude oil futures using HAR-type models with structural breaks
Fenghua Wen, Xu Gong, Shenghua Cai
Energy Economics (2016) Vol. 59, pp. 400-413
Closed Access | Times Cited: 267
Forecasting realized volatility in a changing world: A dynamic model averaging approach
Yudong Wang, Feng Ma, Yu Wei, et al.
Journal of Banking & Finance (2015) Vol. 64, pp. 136-149
Closed Access | Times Cited: 263
The impact of sentiment and attention measures on stock market volatility
Francesco Audrino, Fabio Sigrist, Daniele Ballinari
International Journal of Forecasting (2019) Vol. 36, Iss. 2, pp. 334-357
Open Access | Times Cited: 240
Fact or friction: Jumps at ultra high frequency
Kim Christensen, Roel C. A. Oomen, Mark Podolskij
Journal of Financial Economics (2014) Vol. 114, Iss. 3, pp. 576-599
Closed Access | Times Cited: 205
Forecasting the good and bad uncertainties of crude oil prices using a HAR framework
Xu Gong, Boqiang Lin
Energy Economics (2017) Vol. 67, pp. 315-327
Closed Access | Times Cited: 177
The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market
Xu Gong, Boqiang Lin
Energy Economics (2018) Vol. 74, pp. 370-386
Closed Access | Times Cited: 169
A Machine Learning Approach to Volatility Forecasting
Kim Christensen, Mathias Siggaard, Bezirgen Veliyev
Journal of Financial Econometrics (2022) Vol. 21, Iss. 5, pp. 1680-1727
Open Access | Times Cited: 91
Structural breaks and volatility forecasting in the copper futures market
Xu Gong, Boqiang Lin
Journal of Futures Markets (2017) Vol. 38, Iss. 3, pp. 290-339
Closed Access | Times Cited: 148
Economic policy uncertainty and the Chinese stock market volatility: Novel evidence
Tao Li, Feng Ma, Xuehua Zhang, et al.
Economic Modelling (2019) Vol. 87, pp. 24-33
Closed Access | Times Cited: 138
Is implied volatility more informative for forecasting realized volatility: An international perspective
Chao Liang, Yu Wei, Yaojie Zhang
Journal of Forecasting (2020) Vol. 39, Iss. 8, pp. 1253-1276
Closed Access | Times Cited: 112
Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin
Štefan Lyócsa, Péter Molnár, Tomáš Plíhal, et al.
Journal of Economic Dynamics and Control (2020) Vol. 119, pp. 103980-103980
Open Access | Times Cited: 107
Two are better than one: Volatility forecasting using multiplicative component GARCH‐MIDAS models
Christian Conrad, Onno Kleen
Journal of Applied Econometrics (2019) Vol. 35, Iss. 1, pp. 19-45
Open Access | Times Cited: 101
The role of oil futures intraday information on predicting US stock market volatility
Yusui Tang, Xiao Xiao, M.I.M. Wahab, et al.
Journal of Management Science and Engineering (2020) Vol. 6, Iss. 1, pp. 64-74
Open Access | Times Cited: 82
Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model
Yuanyuan Yu, Yu Lin, Xianping Hou, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120880-120880
Closed Access | Times Cited: 27
Event-Driven Changes in Volatility Connectedness in Global Forex Markets
Peter Albrecht, Evžen Kočenda
Journal of Multinational Financial Management (2025), pp. 100896-100896
Closed Access | Times Cited: 1
Financial Risk Measurement for Financial Risk Management
Torben G. Andersen, Tim Bollerslev, Peter Christoffersen, et al.
Handbook of the economics of finance (2013), pp. 1127-1220
Open Access | Times Cited: 84
Realized volatility transmission between crude oil and equity futures markets: A multivariate HAR approach
Michael Souček, Neda Todorova
Energy Economics (2013) Vol. 40, pp. 586-597
Closed Access | Times Cited: 83
The Analysis of Stochastic Volatility in the Presence of Daily Realized Measures
Siem Jan Koopman, Marcel Scharth
Journal of Financial Econometrics (2012) Vol. 11, Iss. 1, pp. 76-115
Closed Access | Times Cited: 83
Can economic policy uncertainty help to forecast the volatility: A multifractal perspective
Zhicao Liu, Yong Ye, Feng Ma, et al.
Physica A Statistical Mechanics and its Applications (2017) Vol. 482, pp. 181-188
Closed Access | Times Cited: 78
Is economic policy uncertainty important to forecast the realized volatility of crude oil futures?
Feng Ma, M.I.M. Wahab, Jing Liu, et al.
Applied Economics (2017) Vol. 50, Iss. 18, pp. 2087-2101
Closed Access | Times Cited: 78
Volatility forecasting of crude oil futures: The role of investor sentiment and leverage effect
Cai Yang, Xu Gong, Hongwei Zhang
Resources Policy (2018) Vol. 61, pp. 548-563
Closed Access | Times Cited: 77
The information content of option-implied information for volatility forecasting with investor sentiment
Sung Won Seo, Jun Sik Kim
Journal of Banking & Finance (2014) Vol. 50, pp. 106-120
Closed Access | Times Cited: 76
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