Eforecasting Financial Indexes With Model Of Composite Events Influence
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Fong Chan, Kam & Gray, Philip, 2006. "Using extreme value theory to measure value-at-risk for daily electricity spot prices," International Journal of Forecasting, Elsevier, vol. 22(2), pages 283-300.
- Bradley, Michael D. & Jansen, Dennis W., 2004. "Forecasting with a nonlinear dynamic model of stock returns and industrial production," International Journal of Forecasting, Elsevier, vol. 20(2), pages 321-342.
- Chin-Shien Lin & Haider Ali Khan & Chi-Chung Huang, 2002. "Can the neuro fuzzy model predict stock indexes better than its rivals?," CIRJE F-Series CIRJE-F-165, CIRJE, Faculty of Economics, University of Tokyo.
- Marshall, Ben R. & Cahan, Rochester H., 2005. "Is technical analysis profitable on a stock market which has characteristics that suggest it may be inefficient?," Research in International Business and Finance, Elsevier, vol. 19(3), pages 384-398, September.
- Olson, Dennis & Mossman, Charles, 2003. "Neural network forecasts of Canadian stock returns using accounting ratios," International Journal of Forecasting, Elsevier, vol. 19(3), pages 453-465.
- Jorge Caiado, 2004.
"Modelling And Forecasting The Volatility Of The Portuguese Stock Index Psi-20,"
Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 9(1), pages 3-21.
- Caiado, Jorge, 2004. "Modelling and forecasting the volatility of the portuguese stock index PSI-20," MPRA Paper 2077, University Library of Munich, Germany.
- Hekuran NEZIRI, 2009. "Can Credit Default Swaps Predict Financial Crises? Empirical Study On Emerging Markets," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(1(7)_ Spr).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Kostyantyn MALYSHENKO & Vadim MALYSHENKO & Elena Yu. PONOMAREVA & Marina ANASHKINA, 2019. "Analysis of the stock market anomalies in the context of changing the information paradigm," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 239-270, June.
- K. Senthil KUMAR & C. VIJAYABANU & R. AMUDHA, 2012. "A Case Study On Investors’ Financial Literacy In Indian Scenario," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(3(21)/ Fa), pages 262-269.
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.- De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
- Jan G. De Gooijer & Rob J. Hyndman, 2005.
"25 Years of IIF Time Series Forecasting: A Selective Review,"
Monash Econometrics and Business Statistics Working Papers
12/05, Monash University, Department of Econometrics and Business Statistics.
- Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
- Erol Eğrioğlu & Robert Fildes, 2022. "A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1355-1383, April.
- Alessia Naccarato & Andrea Pierini & Giovanna Ferraro, 2021. "Markowitz portfolio optimization through pairs trading cointegrated strategy in long-term investment," Annals of Operations Research, Springer, vol. 299(1), pages 81-99, April.
- Rafał Weron, 2009.
"Heavy-tails and regime-switching in electricity prices,"
Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(3), pages 457-473, July.
- Weron, Rafal, 2008. "Heavy-tails and regime-switching in electricity prices," MPRA Paper 10424, University Library of Munich, Germany.
- Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
- Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
- Jun Maekawa & Koji Shimada, 2019. "A Speculative Trading Model for the Electricity Market: Based on Japan Electric Power Exchange," Energies, MDPI, vol. 12(15), pages 1-15, July.
- Sagarika Mishra & Harminder Singh, 2012. "Do macro-economic variables explain stock-market returns? Evidence using a semi-parametric approach," Journal of Asset Management, Palgrave Macmillan, vol. 13(2), pages 115-127, April.
- Weron, Rafal & Misiorek, Adam, 2008.
"Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models,"
International Journal of Forecasting, Elsevier, vol. 24(4), pages 744-763.
- Weron, Rafal & Misiorek, Adam, 2008. "Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models," MPRA Paper 10428, University Library of Munich, Germany.
- Terasvirta, Timo, 2006.
"Forecasting economic variables with nonlinear models,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 8, pages 413-457,
Elsevier.
- Teräsvirta, Timo, 2005. "Forecasting economic variables with nonlinear models," SSE/EFI Working Paper Series in Economics and Finance 598, Stockholm School of Economics, revised 29 Dec 2005.
- Peña, Juan Ignacio & Rodríguez, Rosa & Mayoral, Silvia, 2020. "Tail risk of electricity futures," Energy Economics, Elsevier, vol. 91(C).
- Alfonso Novales & Laura Garcia-Jorcano, 2019. "Backtesting Extreme Value Theory models of expected shortfall," Documentos de Trabajo del ICAE 2019-24, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Westgaard, Sjur & Fleten, Stein-Erik & Negash, Ahlmahz & Botterud, Audun & Bogaard, Katinka & Verling, Trude Haugsvaer, 2021. "Performing price scenario analysis and stress testing using quantile regression: A case study of the Californian electricity market," Energy, Elsevier, vol. 214(C).
- Greg Tkacz & Carolyn A. Wilkins, 2006. "Linear and Threshold Forecasts of Output and Inflation with Stock and Housing Prices," Staff Working Papers 06-25, Bank of Canada.
- Pushpa Dissanayake & Teresa Flock & Johanna Meier & Philipp Sibbertsen, 2021.
"Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights,"
Mathematics, MDPI, vol. 9(21), pages 1-33, November.
- Dissanayake, Pushpa & Flock, Teresa & Meier, Johanna & Sibbertsen, Philipp, 2021. "Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights," Hannover Economic Papers (HEP) dp-690, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Michael D. Bradley & Jeff Colvin & Mary K. Perkins, 2012. "Do Volume Increases and Decreases Have the Same Effect on Labor Hours?," Chapters, in: Michael A. Crew & Paul R. Kleindorfer (ed.), Multi-Modal Competition and the Future of Mail, chapter 7, Edward Elgar Publishing.
- Barry Harrison & Winston Moore, 2010. "Nonlinearities in Stock Returns for Some Recent Entrants to the EU," NBS Discussion Papers in Economics 2010/1, Economics, Nottingham Business School, Nottingham Trent University.
- Emil Kraft & Dogan Keles & Wolf Fichtner, 2020. "Modeling of frequency containment reserve prices with econometrics and artificial intelligence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1179-1197, December.
- Rounaghi, Mohammad Mahdi & Abbaszadeh, Mohammad Reza & Arashi, Mohammad, 2015. "Stock price forecasting for companies listed on Tehran stock exchange using multivariate adaptive regression splines model and semi-parametric splines technique," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 625-633.
More about this item
Keywords
forecasting model; financial index; events influence; fuzzy integral; fuzzy measure;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:ush:jaessh:v:4:y:2009:i:3(9)_fall2009:76. 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: Laura Stefanescu (email available below). General contact details of provider: https://edirc.repec.org/data/fmuspro.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.