Project Portfolio Construction Using Extreme Value Theory
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Slim, Skander & Koubaa, Yosra & BenSaïda, Ahmed, 2017. "Value-at-Risk under Lévy GARCH models: Evidence from global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 30-53.
- Lütkepohl, Helmut & Milunovich, George, 2016.
"Testing for identification in SVAR-GARCH models,"
Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 241-258.
- Luetkepohl, Helmut & Milunovich, George, 2015. "Testing for identification in SVAR-GARCH models," SFB 649 Discussion Papers 2015-030, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Asheem Shrestha & Jolanta Tamošaitienė & Igor Martek & M Reza Hosseini & David J Edwards, 2019. "A Principal-Agent Theory Perspective on PPP Risk Allocation," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
- Jeremy Berkowitz & James O'Brien, 2002. "How Accurate Are Value‐at‐Risk Models at Commercial Banks?," Journal of Finance, American Finance Association, vol. 57(3), pages 1093-1111, June.
- Foroogh Ghasemi & Mohammad Hossein Mahmoudi Sari & Vahidreza Yousefi & Reza Falsafi & Jolanta Tamošaitienė, 2018. "Project Portfolio Risk Identification and Analysis, Considering Project Risk Interactions and Using Bayesian Networks," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
- Brooks, C. & Clare, A.D. & Dalle Molle, J.W. & Persand, G., 2005. "A comparison of extreme value theory approaches for determining value at risk," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 339-352, March.
- Markku Lanne & Helmut Lütkepohl, 2008.
"Identifying Monetary Policy Shocks via Changes in Volatility,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1131-1149, September.
- Markku Lanne & Helmut L‹Tkepohl, 2008. "Identifying Monetary Policy Shocks via Changes in Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1131-1149, September.
- Markku Lanne & Helmut Lütkepohl, 2006. "Identifying Monetary Policy Shocks via Changes in Volatility," CESifo Working Paper Series 1744, CESifo.
- Markku Lanne, Helmut Luetkepohl, 2006. "Identifying Monetary Policy Shocks via Changes in Volatility," Economics Working Papers ECO2006/23, European University Institute.
- Chen, Cathy W.S. & Wang, Zona & Sriboonchitta, Songsak & Lee, Sangyeol, 2017. "Pair trading based on quantile forecasting of smooth transition GARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 38-55.
- Bhattacharyya, Malay & Ritolia, Gopal, 2008. "Conditional VaR using EVT - Towards a planned margin scheme," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 382-395.
- Hadi Sarvari & Mansooreh Rakhshanifar & Jolanta Tamošaitienė & Daniel W.M. Chan & Michael Beer, 2019. "A Risk Based Approach to Evaluating the Impacts of Zayanderood Drought on Sustainable Development Indicators of Riverside Urban in Isfahan-Iran," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
- Cifter, Atilla, 2011. "Value-at-risk estimation with wavelet-based extreme value theory: Evidence from emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2356-2367.
- Seyed Morteza Hatefi & Mohammad Ehsan Basiri & Jolanta Tamošaitienė, 2019. "An Evidential Model for Environmental Risk Assessment in Projects Using Dempster–Shafer Theory of Evidence," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
- Huisman, R. & Koedijik, K.G. & Pownall, R.A.J., 1998. "VaR-x: Fat Tails in Financial Risk Management," Papers 98-54, Southern California - School of Business Administration.
- 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.
- Vladimir Rankovic & Mikica Drenovak & Branko Uroševic & Ranko Jelic, 2016. "Mean Univariate-GARCH VaR Portfolio Optimization: Actual Portfolio Approach," CESifo Working Paper Series 5731, CESifo.
- Pedersen, Rasmus Søndergaard, 2017.
"Inference and testing on the boundary in extended constant conditional correlation GARCH models,"
Journal of Econometrics, Elsevier, vol. 196(1), pages 23-36.
- Rasmus Søndergaard Pedersen, 2015. "Inference and testing on the boundary in extended constant conditional correlation GARCH models," Discussion Papers 15-10, University of Copenhagen. Department of Economics.
- Vahidreza Yousefi & Siamak Haji Yakhchali & Jolanta Tamošaitienė, 2019. "Application of Duration Measure in Quantifying the Sensitivity of Project Returns to Changes in Discount Rates," Administrative Sciences, MDPI, vol. 9(1), pages 1-14, February.
- Sarabia, José María & Gómez-Déniz, Emilio & Prieto, Faustino & Jordá, Vanesa, 2016. "Risk aggregation in multivariate dependent Pareto distributions," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 154-163.
- Seyed Morteza Hatefi & Jolanta Tamošaitienė, 2018. "Construction Projects Assessment Based on the Sustainable Development Criteria by an Integrated Fuzzy AHP and Improved GRA Model," Sustainability, MDPI, vol. 10(4), pages 1-14, March.
- Normandin, Michel & Phaneuf, Louis, 2004.
"Monetary policy shocks:: Testing identification conditions under time-varying conditional volatility,"
Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1217-1243, September.
- Michel Normandin & Louis Phaneuf, 2003. "Monetary Policy Shocks: Testing Identification Conditions Under Time-Varying Conditional Volatility," Cahiers de recherche 0337, CIRPEE.
- Michel Normandin & Louis Phaneuf, 2003. "Monetary Policy Shocks: Testing Identification Conditions Under Time-Varying Conditional Volatility," Cahiers de recherche 03-04, HEC Montréal, Institut d'économie appliquée.
- Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
- Lanne, Markku & Lütkepohl, Helmut & Maciejowska, Katarzyna, 2010.
"Structural vector autoregressions with Markov switching,"
Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 121-131, February.
- Markku Lanne & Helmut Luetkepohl & Katarzyna Maciejowska, 2009. "Structural Vector Autoregressions with Markov Switching," Economics Working Papers ECO2009/06, European University Institute.
- Lanne, Markku & Lütkepohl, Helmut, 2010.
"Structural Vector Autoregressions With Nonnormal Residuals,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 159-168.
- Markku Lanne & Helmut Luetkepohl, 2005. "Structural Vector Autoregressions with Nonnormal Residuals," Economics Working Papers ECO2005/25, European University Institute.
- Markku Lanne & Helmut Lütkepohl, 2006. "Structural Vector Autoregressions with Nonnormal Residuals," CESifo Working Paper Series 1651, CESifo.
- Pritsker, Matthew, 2006. "The hidden dangers of historical simulation," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 561-582, February.
- Pfeifer, Jeremy & Barker, Kash & Ramirez-Marquez, Jose E. & Morshedlou, Nazanin, 2015. "Quantifying the risk of project delays with a genetic algorithm," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 34-44.
- Ahmed Ghorbel & Abdelwahed Trabelsi, 2008. "Predictive performance of conditional Extreme Value Theory in Value-at-Risk estimation," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 1(2), pages 121-148.
- Bouakez, Hafedh & Normandin, Michel, 2010.
"Fluctuations in the foreign exchange market: How important are monetary policy shocks?,"
Journal of International Economics, Elsevier, vol. 81(1), pages 139-153, May.
- Hafedh Bouakez & Michel Normandin, 2008. "Fluctuations in the Foreign Exchange Market: How Important are Monetary Policy Shocks?," Cahiers de recherche 0818, CIRPEE.
- Vijaya Dixit & Manoj Kumar Tiwari, 2020. "Project portfolio selection and scheduling optimization based on risk measure: a conditional value at risk approach," Annals of Operations Research, Springer, vol. 285(1), pages 9-33, February.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Camilo Micán & Gabriela Fernandes & Madalena Araújo, 2022. "Disclosing the Tacit Links between Risk and Success in Organizational Development Project Portfolios," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
- Hongbo Li & Rui Chen & Xianchao Zhang, 2022. "Uncertain Public R&D Project Portfolio Selection Considering Sectoral Balancing and Project Failure," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Helmut Lütkepohl & Thore Schlaak, 2018.
"Choosing Between Different Time‐Varying Volatility Models for Structural Vector Autoregressive Analysis,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(4), pages 715-735, August.
- Lütkepohl, Helmut & Schlaak, Thore, 2018. "Choosing Between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue 4, pages 715-735.
- Helmut Lütkepohl & Thore Schlaak, 2017. "Choosing between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1672, DIW Berlin, German Institute for Economic Research.
- Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
- Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with smooth transition in variances," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 43-57.
- Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
- Lütkepohl, Helmut & Netšunajev, Aleksei, 2015.
"Structural vector autoregressions with heteroskedasticity: A comparison of different volatility models,"
SFB 649 Discussion Papers
2015-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Helmut Lütkepohl & Aleksei Netsunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity: A Comparison of Different Volatility Models," Discussion Papers of DIW Berlin 1464, DIW Berlin, German Institute for Economic Research.
- Helmut Lütkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models," CESifo Working Paper Series 5308, CESifo.
- repec:hum:wpaper:sfb649dp2014-009 is not listed on IDEAS
- Helmut Lütkepohl & Anton Velinov, 2016.
"Structural Vector Autoregressions: Checking Identifying Long-Run Restrictions Via Heteroskedasticity,"
Journal of Economic Surveys, Wiley Blackwell, vol. 30(2), pages 377-392, April.
- Lütkepohl, Helmut & Velinov, Anton, 2016. "Structural Vector Autoregressions : Checking Identifying Long-Run Restrictions via Heteroskedasticity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 30, pages 377-392.
- Helmut Lütkepohl & Anton Velinov, 2014. "Structural Vector Autoregressions: Checking Identifying Long-run Restrictions via Heteroskedasticity," CESifo Working Paper Series 4651, CESifo.
- Lütkepohl, Helmut & Velinov, Anton, 2014. "Structural vector autoregressions: Checking identifying long-run restrictions via heteroskedasticity," SFB 649 Discussion Papers 2014-009, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Helmut Lütkepohl & Anton Velinov, 2014. "Structural Vector Autoregressions: Checking Identifying Long-Run Restrictions via Heteroskedasticity," Discussion Papers of DIW Berlin 1356, DIW Berlin, German Institute for Economic Research.
- repec:hum:wpaper:sfb649dp2014-031 is not listed on IDEAS
- Dominik Bertsche & Robin Braun, 2022.
"Identification of Structural Vector Autoregressions by Stochastic Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
- Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
- Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
- Bertsche, Dominik & Braun, Robin, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181631, Verein für Socialpolitik / German Economic Association.
- Bertsche, Dominik & Braun, Robin, 2020. "Identification of structural vector autoregressions by stochastic volatility," Bank of England working papers 869, Bank of England.
- repec:hum:wpaper:sfb649dp2015-015 is not listed on IDEAS
- Lütkepohl, Helmut & Netésunajev, Aleksei, 2014.
"Structural vector autoregressions with smooth transition in variances: The interaction between US monetary policy and the stock market,"
SFB 649 Discussion Papers
2014-031, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Helmut Lütkepohl & Aleksei Netsunajev, 2014. "Structural Vector Autoregressions with Smooth Transition in Variances: The Interaction between U.S. Monetary Policy and the Stock Market," Discussion Papers of DIW Berlin 1388, DIW Berlin, German Institute for Economic Research.
- Helmut Lütkepohl & George Milunovich, 2015. "Testing for Identification in SVAR-GARCH Models: Reconsidering the Impact of Monetary Shocks on Exchange Rates," Discussion Papers of DIW Berlin 1455, DIW Berlin, German Institute for Economic Research.
- Lütkepohl, Helmut & Milunovich, George, 2016.
"Testing for identification in SVAR-GARCH models,"
Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 241-258.
- Luetkepohl, Helmut & Milunovich, George, 2015. "Testing for identification in SVAR-GARCH models," SFB 649 Discussion Papers 2015-030, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Netšunajev, Aleksei & Winkelmann, Lars, 2014. "Inflation expectations spillovers between the United States and euro area," SFB 649 Discussion Papers 2014-023, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Helmut Lütkepohl & Aleksei NetŠunajev, 2014.
"Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
- Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.
- repec:hum:wpaper:sfb649dp2015-030 is not listed on IDEAS
- Hamed Tabasi & Vahidreza Yousefi & Jolanta Tamošaitienė & Foroogh Ghasemi, 2019. "Estimating Conditional Value at Risk in the Tehran Stock Exchange Based on the Extreme Value Theory Using GARCH Models," Administrative Sciences, MDPI, vol. 9(2), pages 1-17, May.
- Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017.
"Identification and estimation of non-Gaussian structural vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.
- Markku Lanne & Mika Meitz & Pentti Saikkonen, 2015. "Identification and estimation of non-Gaussian structural vector autoregressions," CREATES Research Papers 2015-16, Department of Economics and Business Economics, Aarhus University.
- Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2014.
"Gimme a break! Identification and estimation of the macroeconomic effects of monetary policy shocks in the U.S,"
"Marco Fanno" Working Papers
0181, Dipartimento di Scienze Economiche "Marco Fanno".
- Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2016. "Gimme a Break! Identification and Estimation of the Macroeconomic Effects of Monetary Policy Shocks in the U.S," Melbourne Institute Working Paper Series wp2016n31, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Helmut Lutkepohl & Fei Shang & Luis Uzeda & Tomasz Wo'zniak, 2024.
"Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference,"
Papers
2404.11057, arXiv.org.
- Helmut Lütkepohl & Fei Shang & Luis Uzeda & Tomasz Woźniak, 2024. "Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference," Discussion Papers of DIW Berlin 2081, DIW Berlin, German Institute for Economic Research.
- Guido Turnip, 2017. "Identification of Small Open Economy SVARs via Markov-Switching Heteroskedasticity," The Economic Record, The Economic Society of Australia, vol. 93(302), pages 465-483, September.
- Karamysheva, Madina & Skrobotov, Anton, 2022. "Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
- Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021.
"Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty,"
Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2021. "Using Time-Varying Volatility for Identification in Vector Autoregressions: An Application to Endogenous Uncertainty," CEPR Discussion Papers 16346, C.E.P.R. Discussion Papers.
- Stefan Bruder, 2018. "Inference for structural impulse responses in SVAR-GARCH models," ECON - Working Papers 281, Department of Economics - University of Zurich.
More about this item
Keywords
portfolio optimization; extreme value theory; GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models; volatility clustering; distribution;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:855-:d:481501. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.