File Name: pricing and hedging of derivative securities .zip
It seems that you're in Germany. We have a dedicated site for Germany. Authors: Bingham , Nicholas H. Since its introduction in the early s, the risk-neutral valuation principle has proved to be an important tool in the pricing and hedging of financial derivatives.
Although not a substitute for the more traditional arbitrage-based pricing formulas, network pricing formulas may be more accurate and computationally more efficient alternatives when the underlying asset's price dynamics are unknown, or when the pricing equation associated with no-arbitrage condition cannot be solved analytically. To assess the potential value of network pricing formulas, we simulate Black-Scholes option prices and show that learning networks can recover the Black-Scholes formula from a two-year training set of daily options prices, and that the resulting network formula can be used successfully to both price and delta-hedge options out-of-sample. For comparison, we estimate models using four popular methods: ordinary least squares, radial basis function networks, multilayer perceptron networks, and projection pursuit. Bibliographic data for series maintained by. Is your work missing from RePEc? Here is how to contribute. Questions or problems?
Stremme, Alexander Pricing and hedging of derivative securities: Some effects of asymmetric information and market power. This thesis consists of a collection of studies investigating various aspects of the interplay between the markets for derivative securities and their respective underlying assets in the presence of market imperfections. The classic theory of derivative pricing and hedging hinges on three rather unrealistic assumptions regarding the market for the underlying asset. Markets are assumed to be perfectly elastic, complete and frictionless. This thesis studies some effects of relaxing one or more of these assumptions. Chapter 1 provides an introduction to the thesis, details the structure of what follows, and gives a selective review of the relevant literature.
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. A multiobjective genetic programming approach for pricing and hedging derivative securities Abstract: Genetic programming has become increasingly important in the broad field of finance. Due to the fact that in the context of pricing derivatives a lot of models are not amenable to analytical exact solutions, this is especially true for the research area of contingent claim pricing. Previous work in this field almost certainly always focuses on pricing such derivatives.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Avellaneda and A. Avellaneda , A. These bounds could be inferred from extreme values of the implied volatilities of liquid options, or from high-low peaks in historical stock- or option-implied volatilities.
PDF | We present a model for pricing and hedging derivative securities and option portfolios in an environment where the volatility is not known.
A hedge is an investment position intended to offset potential losses or gains that may be incurred by a companion investment. A hedge can be constructed from many types of financial instruments , including stocks , exchange-traded funds , insurance , forward contracts , swaps , options , gambles,  many types of over-the-counter and derivative products, and futures contracts. Public futures markets were established in the 19th century  to allow transparent, standardized, and efficient hedging of agricultural commodity prices; they have since expanded to include futures contracts for hedging the values of energy , precious metals , foreign currency , and interest rate fluctuations. Hedging is the practice of taking a position in one market to offset and balance against the risk adopted by assuming a position in a contrary or opposing market or investment.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Nielsen Published Economics. The theory of pricing and hedging of derivative securities is mathematically sophisticated.
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