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  • Search: subject:"Programming (Mathematics)"
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Year of publication
Subject
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Programming (Mathematics) 14 Econometric models 4 Computers 2 Forecasting 2 Foreign exchange rates 2 Mathematical models 2 Computer science 1 Congresses 1 Constraint programming (Computer science) 1 Econometrics 1 Foreign exchange 1 Globale Optimierung 1 Mathematical optimization 1 Nebenbedingung 1 Operations research 1 Optimierung 1
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Online availability
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Free 11
Type of publication
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Book / Working Paper 13 Article 1
Type of publication (narrower categories)
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Working Paper 1
Language
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English 8 Undetermined 6
Author
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Neely, Christopher J. 3 Weller, Paul A. 3 Gerald P. Dwyer, Jr. 2 Kasa, Kenneth 2 Keane, Michael P. 2 Williams, K. B. 2 Cardia, Emanuela 1 Dittmar, Robert 1 Geweke, John F. 1 Gomme, Paul 1 Hooker, John 1 Pflug, Georg 1 Stokey, Nancy L. 1 Wolpin, Kenneth I. 1
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Institution
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Federal Reserve Bank of Minneapolis 3 Federal Reserve Bank of San Francisco 3 Federal Reserve Bank of St. Louis 2 Federal Reserve Bank of Atlanta 1 Federal Reserve Bank of Cleveland 1
Published in...
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Working Papers / Federal Reserve Bank of St. Louis 2 Working Papers in Applied Economic Theory 2 Annals of operations research 1 Discussion Paper / Institute for Empirical Macroeconomics 1 International series in operations research & management science 1 Review / Federal Reserve Bank of St. Louis 1 Staff Report / Federal Reserve Bank of Minneapolis 1 Working Paper 1 Working Paper / Federal Reserve Bank of Atlanta 1 Working Paper / Federal Reserve Bank of Cleveland 1 Working Paper Series / Federal Reserve Bank of San Francisco 1 Working Papers / Federal Reserve Bank of Minneapolis 1
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Source
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RePEc 11 USB Cologne (EcoSocSci) 2 EconStor 1
Showing 1 - 10 of 14
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Applied mathematical programming and modelling 2008
Pflug, Georg (contributor) - 2012
Persistent link: https://www.econbiz.de/10009698925
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Predicting exchange rate volatility: genetic programming versus GARCH and RiskMetrics
Neely, Christopher J.; Weller, Paul A. - In: Review (2002) May, pp. 43-54
This article investigates the use of genetic programming to forecast out-of-sample daily volatility in the foreign exchange market. Forecasting performance is evaluated relative to GARCH(1,1) and RiskMetricsā€˜ models for two currencies, the Deutsche mark and the Japanese yen. Although the GARCH...
Persistent link: https://www.econbiz.de/10005726139
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Predicting exchange rate volatility: genetic programming vs. GARCH and RiskMetrics
Neely, Christopher J.; Weller, Paul A. - Federal Reserve Bank of St. Louis - 2001
This article investigates the use of genetic programming to forecast out-of-sample daily volatility in the foreign exchange market. Forecasting performance is evaluated relative to GARCH(1,1) and RiskMetrics models for two currencies, DEM and JPY. Although the GARCH/RiskMetrics models appear to...
Persistent link: https://www.econbiz.de/10005352971
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Model uncertainty, robust policies, and the value of commitment
Kasa, Kenneth - Federal Reserve Bank of San Francisco - 1999
Using results from the literature on H-control, this paper incorporates model uncertainty into Whiteman's (1986) frequency domain approach to stabilization policy. The derived policies guarantee a minimum performance level even in the worst of (a bounded set of) circumstances. ; For a given...
Persistent link: https://www.econbiz.de/10005401619
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Portable random number generators
Gerald P. Dwyer, Jr.; Williams, K. B. - Federal Reserve Bank of Atlanta - 1999
Computers are deterministic devices, and a computer-generated random number is a contradiction in terms. As a result, computer-generated pseudorandom numbers are fraught with peril for the unwary. We summarize much that is known about the most well-known pseudorandom number generators:...
Persistent link: https://www.econbiz.de/10005514588
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Portable random number generators
Gerald P. Dwyer, Jr.; Williams, K. B. - 1999
Computers are deterministic devices, and a computer-generated random number is a contradiction in terms. As a result, computer-generated pseudorandom numbers are fraught with peril for the unwary. We summarize much that is known about the most well-known pseudorandom number generators:...
Persistent link: https://www.econbiz.de/10010397453
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Model uncertainty, robust policies, and the value of commitment
Kasa, Kenneth - Federal Reserve Bank of San Francisco - 1999
Using results from the literature on H-control, this paper incorporates model uncertainty into Whiteman's (1986) frequency domain approach to stabilization policy. The derived policies guarantee a minimum performance level even in the worst of (a bounded set of) circumstances. ; For a given...
Persistent link: https://www.econbiz.de/10010702139
Saved in:
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Evolutionary programming as a solution technique for the Bellman equation
Gomme, Paul - Federal Reserve Bank of Cleveland - 1998
Evolutionary programming is a stochastic optimization procedure that has proved useful in optimizing difficult functions. This paper shows that evolutionary programming can be used to solve the Bellman equation problem with a high degree of accuracy and substantially less CPU time than Bellman...
Persistent link: https://www.econbiz.de/10005729048
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Is technical analysis in the foreign exchange market profitable? a genetic programming approach
Neely, Christopher J.; Weller, Paul A.; Dittmar, Robert - Federal Reserve Bank of St. Louis - 1997
Using genetic programming techniques to find technical trading rules, we find strong evidence of economically significant out-of-sample excess returns to those rules for each of six exchange rates, over the period 1981-1995. Further, when the dollar/deutschemark rules are allowed to determine...
Persistent link: https://www.econbiz.de/10005707790
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Integrated methods for optimization
Hooker, John - 2007
Persistent link: https://www.econbiz.de/10004893314
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