A New Framework To Estimate the Risk-Neutral Probability Density Functions Embedded in Options Prices.

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Bibliographic Details
Author / Creator:Cheng, Kevin C.
Imprint:Washington : International Monetary Fund, 2010.
Description:1 online resource (46 pages).
Language:English
Series:IMF Working Papers
IMF Working Papers.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12502375
Hidden Bibliographic Details
ISBN:9781455219278
1455219274
1462376924
9781462376926
1282846531
9781282846531
9786612846533
6612846534
1455202150
9781455202157
Notes:Includes bibliographical references.
Print version record.
Summary:Building on the widely-used double-lognormal approach by Bahra (1997), this paper presents a multi-lognormal approach with restrictions to extract risk-neutral probability density functions (RNPs) for various asset classes. The contributions are twofold: first, on the technical side, the paper proposes useful transformation/restrictions to Bahra's original formulation for achieving economically sensible outcomes. In addition, the paper compares the statistical properties of the estimated RNPs among major asset classes, including commodities, the S & P 500, the dollar/euro exchange rate, and the.
Other form:Print version: Cheng, Kevin C. A New Framework To Estimate the Risk-Neutral Probability Density Functions Embedded in Options Prices. Washington : International Monetary Fund, ©2010 9781455202157

MARC

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245 1 2 |a A New Framework To Estimate the Risk-Neutral Probability Density Functions Embedded in Options Prices. 
260 |a Washington :  |b International Monetary Fund,  |c 2010. 
300 |a 1 online resource (46 pages). 
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490 1 |a IMF Working Papers 
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505 0 |a Cover Page; Title Page; Copyright Page; Contents; I. Introduction; II. Theoretical Background and Existing Methodologies; A. Theoretical Background; B. Existing Estimation Methods; III. The Multi-Lognormal Approach with Restrictions; A. The Framework; B. Useful Restrictions and Initial Condition; IV. Applications; A. The Setup; 1. Futures Contracts Specification; 1. Annualized Average Daily Returns and Return Volatilities; B. Results; 2a. Fan Charts for Selected Commodities (as a March 24-25, 2010); 2b. Fan Charts for Selected Financial Instruments (as a March 24-25, 2010). 
505 8 |a 2. Outlook for Major Commodity and Financial Prices as of March 24-25, 20103a. Probability Density Functions for 3-month ahead (or closest) Contracts.; 3b. Probability Density Functions for 3-month ahead (or closest) Contracts; 3c. Probability Density Functions for 9-month (or closest) ahead Contracts; 3d. Probability Density Functions for 9-month (or closest) ahead Contracts; 4a. Commodities: Ratio of Risk-Neutral Probability to Risk-Averse Probability; 4b. Financial Securities: Ratio of Risk-Neutral Probability to Risk-Averse Probability. 
505 8 |a 3a. Statistical Properties for Three-Month Contracts or Closest3b. Statistical Properties for Eight- or Nine-Month Contracts or Closest; C. Caveats; 4. Sum of Squared Errors for the Monte Carlo Study with 10,000 simulations; V.A Monte-Carlo Simulation; VI. Conclusion and Further Studies; References; Footnotes. 
520 |a Building on the widely-used double-lognormal approach by Bahra (1997), this paper presents a multi-lognormal approach with restrictions to extract risk-neutral probability density functions (RNPs) for various asset classes. The contributions are twofold: first, on the technical side, the paper proposes useful transformation/restrictions to Bahra's original formulation for achieving economically sensible outcomes. In addition, the paper compares the statistical properties of the estimated RNPs among major asset classes, including commodities, the S & P 500, the dollar/euro exchange rate, and the. 
504 |a Includes bibliographical references. 
650 0 |a Stock options  |x Prices  |x Mathematical models. 
650 0 |a Options (Finance)  |x Prices  |x Mathematical models. 
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650 6 |a Options (Finances)  |x Prix  |x Modèles mathématiques. 
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655 0 |a Electronic books. 
655 4 |a Electronic books. 
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