Kahloul, Ines and Ben Mabrouk, Anouar and Hallara, Salah-Eddine (2009): Wavelet-Based Prediction for Governance, Diversi cation and Value Creation Variables.
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We study the possibility of completing data bases of a sample of governance, diversification and value creation variables by providing a well adapted method to reconstruct the missing parts in order to obtain a complete sample to be applied for testing the ownership-structure / diversification relationship. It consists of a dynamic procedure based on wavelets. A comparison with Neural Networks, the most used method, is provided to prove the efficiency of the here-developed one. The empirical tests are conducted on a set of French firms.
|Item Type:||MPRA Paper|
|Original Title:||Wavelet-Based Prediction for Governance, Diversi cation and Value Creation Variables|
|Keywords:||Wavelets, Short Time series, Missing Data, Forecasting, Governance, Diversification, Value creation.|
|Subjects:||C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods; Simulation Methods
C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C23 - Models with Panel Data; Longitudinal Data; Spatial Time Series
C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C45 - Neural Networks and Related Topics
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C22 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
|Depositing User:||Anouar Ben Mabrouk|
|Date Deposited:||07. Nov 2010 22:48|
|Last Modified:||13. Feb 2013 16:16|
M. Aminghafari and J. M. Poggi, Forecasting Time Series Using Wavelets. International J. of Wavelets Multiresolution and Information Processing 5(5) (2007), 709-724.
B. Aktan, A. Ben Mabrouk, M. Ozturk and N. Rhaiem, Wavelet-Based Systematic Risk Estimation An Application on Istanbul Stock Exchange. International Research Journal of Finance and Economics 23 (2009), 33-45.
E. Barnes and H. Brown, The diversification Puzzle: Revisiting the value impact of diversification for UK firms. Journal of Business Finance and Accounting, 33(9-10) (2006), 1508-1534.
Baudat and F. Anouar, Kernel-based methods and function approximation. International Joint Conference on Neural Networks, Washington, DC July 15-19, 2001, 1244-1249.
A. Ben Mabrouk, N. Ben Abdallah and Z. Dhifaoui, Wavelet Decomposition and Autoregressive Model for Time Series Prediction. Appl. Math. Comput. 199(1) (2008), 334-340.
A. Ben Mabrouk, Z. Dhifaoui and H. Kortas, A wavelet support vector machine coupled method for time series prediction. International Journal of Wavelets Multiresolution and Information Processing, 6(6) (2008), 851-868.
A. Ben Mabrouk, H. Kortas and S. Ben Ammou, Wavelet estimators for long memory in stock markets. International J. of Theoretical and Applied Finance 12(3) (2009), 297–317.
M. L. Ben Mohamed, On some nonlinear problems, Wavelet approach, Thesis in Mathematics, Faculty of Sciences, Monastir, 2007.
C. Bontemps, Pr\'evision stochastique de trajectoire: proc\'edure param\'etrique et non param\'etrique. Rapport de DEA Informatique Fondamentale et Parallelisme, Ecole Nationale de l'Aviation Civile, 1997.
G. Charreaux, Structure de propri\'et\'e, relation d'agence et performance financiµere. Revue Economique, 42(3) (1991), 521-552.
I. Daubechies, Ten lectures on wavelets. CBMS-NSF Regional Conference Series on Applied Mathematics, Vol. 61, SIAM, Philadelphia, PA, 1992.
A. Delios and Z. J. Wu, Legal Person Ownership, Diversification Strategy and Firm Profitability in China. Journal of Management and Governance, 9 (2005), 151-169.
C. Gasquet and P. Witomsky, Analyse de Fourier et Applications, Filtrage, Calcul num\'erique, Ondelettes. Masson, 1990.
R. Gen»cay, F. Seluk and B. Whitcher, An Introduction to Wavelets and Other Filtering Methods in Finance and Economics. Academic Press, 200
W. Hardle, G. Kerkyacharian, D. Picard and A. Tsybakov, Wavelets, Approximation and Statistical Applications. Seminar Berlin-Paris, 1996.
C. R. Harvey, Predictable risk and returns in emerging markets. Review of Financial Studies 8(3) (1995), 773-816.
J. S. Karp, G. Muehllehner and R. M. Lewitt, Constrained Fourier Space Method for Compensation of Missing Data in Emission Computed Tomo Graphy. IEEE Transactions on Medical Imaging, 7(1) (1988), 21-25.
R. Lagnado and S. Osher, A technique for calibrating derivative security pricing models: Numerical solution of an inverse problem. The Journal of Computational Finance 1 (1997), 13-25.
L. H. P. Lang and R. M. Stulz, Tobin's Q, corporate diversification, and firm performance. Journal of Political Economy, 102(6) (1994), 1248-1280.
R. Liva and F. d'Alch\'e-Buc, Mod\`ele dynamique µa noyaux pour la pr\'evision des series temporelles non lin\'eaires. In Actes de la Confrence Apprentissage CAp'03, Laval, 2003.
S. Mukerjee, E. Osuna, and F. Girosi, Nonlinear prediction of chaotic time series using support vector machines. In IEEE NNSP'97, Ameila Island, FL, USA, 24-26 Sept, 1997.
D. B. Percival and A. T. Walden, Wavelet Methods for Time Series Analysis. Cambridge University, 2000.
F. Perdreau, D\'esengagements et recentrage en France 1986-1992. Finance Contr\^ole Strat\'egie, 1(2) (1998), 137-165.
S. D. Prowse, Institutional investment patterns and corporate financial behaviour in the United States and Japan. Journal of Financial Economics, 27(1) (1990), 43-66.
M. Singh, N. Wallace and J. A. Suchard, Corporate diversification strategies and capital structure. Quarterly Review of Economics and Finance, 43 (2003), 147-166.
S. Soltani, On the use of the wavelets decomposition for time series prediction. Neurocomputing, 48 (2002), 267-277.
S. Thomsen, T. Pedersen and H. K. Kvist, Blockholder Ownership: effects on firm value in market and control based governance systems. Journal of Corporate finance, 12 (2006), 246-269.