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Ali Dadpay, E. Soofi, R. Soyer (2007)
Information measures for generalized gamma familyJournal of Econometrics, 138
H. Hurst (1951)
Long-Term Storage Capacity of ReservoirsTransactions of the American Society of Civil Engineers, 116
(1984)
The Capital Structure Puzzle
C. Zapart (2009)
On entropy, financial markets and minority gamesPhysica A-statistical Mechanics and Its Applications, 388
Stijn Nieuwerburgh, Laura Veldkamp (2005)
Information Acquisition and Portfolio Under-Diversi¯CationNew York University Stern School of Business Research Paper Series
F. Black (1976)
The Dividend Puzzle, 2
L. Szilard
On the decrease of entropy in a thermodynamic state by the intervention of intelligent beings
J. Chen (2005)
Generalized Entropy Theory of Information and Market PatternsCapital Markets: Market Efficiency eJournal
Journal of Economic Perspectives—Volume 15, Number 1—Winter 2001—Pages 41–54 The Internet and the Investor
T. Gajdos, Takashi Hayashi, J. Tallon, J. Vergnaud (2008)
Attitude toward imprecise informationJ. Econ. Theory, 140
C. Jones (2002)
A Century of Stock Market Liquidity and Trading CostsColumbia Business School Research Paper Series
Sanford Grossman (1980)
On the Impossibility of Informationally Efficient MarketsERN: Efficient Market Hypothesis Models (Topic)
M.A. Muendler
Demand for information on assets with Gaussian returns
L. Szilard (1929)
über die Entropieverminderung in einem thermodynamischen System bei Eingriffen intelligenter WesenZeitschrift für Physik, 53
V. Mignon
Méthodes d'estimation de l'exposant de Hurst
F. Black, Myron Scholes (1973)
The Pricing of Options and Corporate LiabilitiesJournal of Political Economy, 81
B. Biais (1993)
Price Formation and Equilibrium Liquidity in Fragmented and Centralized MarketsJournal of Finance, 48
E. Maasoumi, J. Racine (2002)
Entropy and predictability of stock market returnsJournal of Econometrics, 107
Valérie Mignon (1998)
Méthodes d'estimation de l'exposant de Hurst. Application aux rentabilités boursières, 132
Scientifiques L’É.N.S, L. Bachelier, ÏK Bachelier
Théorie de la spéculationAnnales Scientifiques De L Ecole Normale Superieure, 17
J. Rea, B. Reid, T. Lee
Mutual fund costs, 1980‐1998
B. Clarke (2007)
Information optimality and Bayesian modellingJournal of Econometrics, 138
B.M. Barber, T. Odean
The internet and the investor
Lin Peng (2005)
Learning with Information Capacity ConstraintsJournal of Financial and Quantitative Analysis, 40
Frederik Lundtofte (2005)
The Effect of Information Quality on Optimal Portfolio ChoiceMicroeconomic Theory eJournal
Alessandro Sbuelz, Fabio Trojani (2007)
Asset Prices With Locally-Constrained-Entropy Recursive Multiple Priors UtilityDerivatives
Suleiman Mohammed, P. Yadav (2002)
Quality of Information and Volatility Around Earnings AnnouncementsEuropean Finance Association Meetings (EFA) (Archive)
B. Biais (1993)
Price Formation and Equilibrium Liquidity in Centralized and Fragmented Markets
Joel Peress (2005)
Information vs. Entry Costs: What Explains U.S. Stock Market Evolution?Journal of Financial and Quantitative Analysis, 40
Purpose – The purpose of this paper is to discuss a widespread idea in the financial literature: information in financial markets is free. Indeed, whenever an investor wants to intervene to purchase and/or to sell, he/she faces the need to access the information, which he/she judges to ensure an optimal decision. Design/methodology/approach – The paper uses the entropy statistics in order to estimate the information cost of the assets of the Tunisian stock market over the period extending from 2002 to 2005. Findings – The obtained results show that the information costs follow a Brownian motion. This finding lends empirical support to the theoretical position that has always been adopted in the relevant literature: in finance, as in economy, the majority of the series follow a Brownian motion. Practical implications – The proposed methodology offers investors the opportunity to estimate the information cost by taking into account the quotation probability, a simple approach that can be used not only by fund managers, but also by financial market investors. Originality/value – The paper uses entropy as a relatively new tool applied in financial theory. It offers a new understanding of information cost. The paper will be of interest for financial market investors and academics.
The Journal of Risk Finance – Emerald Publishing
Published: Aug 17, 2010
Keywords: Information management; Cost accounting; Tunisia; Stock markets
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