Navigating Market Turbulence: Insights from Causal Network Contagion Value at Risk
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- David Cabedo, J. & Moya, Ismael, 2003. "Estimating oil price 'Value at Risk' using the historical simulation approach," Energy Economics, Elsevier, vol. 25(3), pages 239-253, May.
- Pesaran, M. Hashem & Pick, Andreas, 2007.
"Econometric issues in the analysis of contagion,"
Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1245-1277, April.
- Pesaran, M.H. & Pick, A., 2004. "Econometric Issues in the Analysis of Contagion," Cambridge Working Papers in Economics 0402, Faculty of Economics, University of Cambridge.
- Hashem Pesaran & Andreas Pick, 2004. "Econometric Issues in the Analysis of Contagion," Money Macro and Finance (MMF) Research Group Conference 2004 67, Money Macro and Finance Research Group.
- M. Hashem Pesaran & Andreas Pick, 2004. "Econometric Issues in the Analysis of Contagion," CESifo Working Paper Series 1176, CESifo.
- Thomas J. Linsmeier & Neil D. Pearson, 1996. "Risk Measurement: An Introduction to Value at Risk," Finance 9609004, University Library of Munich, Germany.
- Mardi Dungey & Eric Renault, 2018. "Identifying contagion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 227-250, March.
- Mark Rubinstein, 2002. "Markowitz's “Portfolio Selection”: A Fifty‐Year Retrospective," Journal of Finance, American Finance Association, vol. 57(3), pages 1041-1045, June.
- Elena-Ivona Dumitrescu & Christophe Hurlin & Vinson Pham, 2012.
"Backtesting Value-at-Risk: From Dynamic Quantile to Dynamic Binary Tests,"
Finance, Presses universitaires de Grenoble, vol. 33(1), pages 79-112.
- Elena Ivona Dumitrescu & Christophe Hurlin & Vinson Pham, 2012. "Backtesting Value-at-Risk: From Dynamic Quantile to Dynamic Binary Tests," Post-Print hal-01385901, HAL.
- Elena-Ivona Dumitrescu & Christophe Hurlin & Vinson Pham, 2012. "Backtesting Value-at-Risk: From Dynamic Quantile to Dynamic Binary Tests," Working Papers halshs-00671658, HAL.
- Gow, Ian D. & Larcker, David F. & Reiss, Peter C., 2016. "Causal Inference in Accounting Research," Research Papers 3393, Stanford University, Graduate School of Business.
- Alexander J. McNeil & Rüdiger Frey & Paul Embrechts, 2015. "Quantitative Risk Management: Concepts, Techniques and Tools Revised edition," Economics Books, Princeton University Press, edition 2, number 10496.
- Kristian Bondo Hansen, 2021. "Financial contagion: problems of proximity and connectivity in financial markets," Journal of Cultural Economy, Taylor & Francis Journals, vol. 14(4), pages 388-402, July.
- Philip Wooldridge, 2019. "FX and OTC derivatives markets through the lens of the Triennial Survey," BIS Quarterly Review, Bank for International Settlements, December.
- Mariusz Maziarz, 2015. "A review of the Granger-causality fallacy," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 8(2), May.
- Giovanni Barone‐Adesi & Kostas Giannopoulos & Les Vosper, 1999. "VaR without correlations for portfolios of derivative securities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(5), pages 583-602, August.
- Kalisch, Markus & Mächler, Martin & Colombo, Diego & Maathuis, Marloes H. & Bühlmann, Peter, 2012. "Causal Inference Using Graphical Models with the R Package pcalg," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i11).
- Eichler, Michael, 2007. "Granger causality and path diagrams for multivariate time series," Journal of Econometrics, Elsevier, vol. 137(2), pages 334-353, April.
- Kee-Hong Bae & G. Andrew Karolyi & René M. Stulz, 2003.
"A New Approach to Measuring Financial Contagion,"
The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 717-763, July.
- Kee-Hong Bae & G. Andrew Karolyi & Rene M. Stulz, 2000. "A New Approach to Measuring Financial Contagion," NBER Working Papers 7913, National Bureau of Economic Research, Inc.
- Kee-Hong Bae & G. Andrew Karolyi & Rene M. Stulz, 2001. "A new approach to measuring financial contagion," Proceedings 743, Federal Reserve Bank of Chicago.
- Jondeau, Eric & Rockinger, Michael, 2006. "The Copula-GARCH model of conditional dependencies: An international stock market application," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 827-853, August.
- Jonathan G. Richens & Ciarán M. Lee & Saurabh Johri, 2020. "Publisher Correction: Improving the accuracy of medical diagnosis with causal machine learning," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
- Ian D. Gow & David F. Larcker & Peter C. Reiss, 2016. "Causal Inference in Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 477-523, May.
- Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
- McNeil, Alexander J. & Frey, Rudiger, 2000. "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 271-300, November.
- Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
- Robert F. Engle & Simone Manganelli, 2004.
"CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
- Engle, Robert F & Manganelli, Simone, 1999. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," University of California at San Diego, Economics Working Paper Series qt06m3d6nv, Department of Economics, UC San Diego.
- Robert Engle & Simone Manganelli, 2000. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Econometric Society World Congress 2000 Contributed Papers 0841, Econometric Society.
- Martins-Filho, Carlos & Yao, Feng & Torero, Maximo, 2018.
"Nonparametric Estimation Of Conditional Value-At-Risk And Expected Shortfall Based On Extreme Value Theory,"
Econometric Theory, Cambridge University Press, vol. 34(1), pages 23-67, February.
- Carlos Martins-Filho & Feng Yao & Maximo Torero, 2012. "Nonparametric estimation of conditional value-at-risk and expected shortfall based on extreme value theory," Working Papers 13-05, Department of Economics, West Virginia University.
- Alessandro Montalto & Luca Faes & Daniele Marinazzo, 2014. "MuTE: A MATLAB Toolbox to Compare Established and Novel Estimators of the Multivariate Transfer Entropy," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-13, October.
- Glasserman, Paul & Young, H. Peyton, 2015. "How likely is contagion in financial networks?," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 383-399.
- Adams, Zeno & Füss, Roland & Gropp, Reint, 2014.
"Spillover Effects among Financial Institutions: A State-Dependent Sensitivity Value-at-Risk Approach,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 575-598, June.
- Adams, Zeno & Füss, Roland & Gropp, Reint E., 2013. "Spillover effects among financial institutions: A state-dependent sensitivity value-at-risk approach," SAFE Working Paper Series 20, Leibniz Institute for Financial Research SAFE.
- Niklas Pfister & Peter Bühlmann & Jonas Peters, 2019. "Invariant Causal Prediction for Sequential Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1264-1276, July.
- Fentaw Abegaz & Ernst Wit, 2015. "Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(4), pages 419-441, November.
- Abdolreza Mohammadi & Fentaw Abegaz & Edwin Heuvel & Ernst C. Wit, 2017. "Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(3), pages 629-645, April.
- Pritsker, Matthew, 2006. "The hidden dangers of historical simulation," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 561-582, February.
- Jonas Peters & Peter Bühlmann & Nicolai Meinshausen, 2016. "Causal inference by using invariant prediction: identification and confidence intervals," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 947-1012, November.
- Jonathan G. Richens & Ciarán M. Lee & Saurabh Johri, 2020. "Improving the accuracy of medical diagnosis with causal machine learning," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
- Metiu, Norbert, 2012. "Sovereign risk contagion in the Eurozone," Economics Letters, Elsevier, vol. 117(1), pages 35-38.
- Linsmeier, Thomas J. & Pearson, Neil D., 1996. "Risk measurement: an introduction to value at risk," ACE Reports 14796, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
- Gonzalez-Rivera, Gloria & Lee, Tae-Hwy & Mishra, Santosh, 2004. "Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood," International Journal of Forecasting, Elsevier, vol. 20(4), pages 629-645.
- Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
- Rigana, Katerina & Wit, Ernst-Jan Camiel & Cook, Samantha, 2023. "A new way of measuring effects of financial crisis on contagion in currency markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Okimoto, Tatsuyoshi, 2008. "New Evidence of Asymmetric Dependence Structures in International Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(3), pages 787-815, September.
- Löffler, Gunter & Raupach, Peter, 2018. "Pitfalls in the Use of Systemic Risk Measures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(1), pages 269-298, February.
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