Download or read book Weather Derivative Pricing with Nonlinear Weather Forecasting written by Gal Zahavi and published by . This book was released on 2014 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years we witnessed a rapid growth of weather derivatives market. These derivatives are used to hedge energy contracts and distribute weather risk. While most derivative markets are complete and contingent climes replications are standard procedure, this special market is incomplete, and therefore modeling the weather is a more appropriate approach to pricing. In this work we base our modeling on a widely accepted physical approach, we use Navier-Stokes equations applied to a thin atmosphere as presented by Lorentz 1962. This modeling is considered by meteorologists a “very-long-weather” prediction, allows for an accurate and robust temperature forecasting. We show that under this setting we empirically outperform the standard approach to weather derivative pricing.
Download or read book Weather Derivative Valuation written by Stephen Jewson and published by Cambridge University Press. This book was released on 2005-03-10 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 2005, Weather Derivative Valuation covers all the meteorological, statistical, financial and mathematical issues that arise in the pricing and risk management of weather derivatives. There are chapters on meteorological data and data cleaning, the modelling and pricing of single weather derivatives, the modelling and valuation of portfolios, the use of weather and seasonal forecasts in the pricing of weather derivatives, arbitrage pricing for weather derivatives, risk management, and the modelling of temperature, wind and precipitation. Specific issues covered in detail include the analysis of uncertainty in weather derivative pricing, time-series modelling of daily temperatures, the creation and use of probabilistic meteorological forecasts and the derivation of the weather derivative version of the Black-Scholes equation of mathematical finance. Written by consultants who work within the weather derivative industry, this book is packed with practical information and theoretical insight into the world of weather derivative pricing.
Download or read book The Pricing of Weather Derivatives including Meteorological Forecasts written by Elena Parmigiani and published by GRIN Verlag. This book was released on 2014-02-24 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelor Thesis from the year 2013 in the subject Business economics - Investment and Finance, grade: 4/4, , language: English, abstract: 1. Abstract This paper analyses weather derivatives and the issue of pricing these financial instruments. The non-tradability of the underlying makes their pricing not straightforward and even if the Chicago Mercantile Exchange began trading the first weather contract in 1999, the market still witnesses very low volumes and is relatively illiquid. This theoretical analysis is focused on instruments whose underlying is temperature, since they are the most traded. Due to the assumption of informational efficient markets, all available information should theoretically be included in the prices. However most existing models focus only on historical observations of temperature, actually excluding some relevant information. The few models that have instead considered weather forecasts are analysed, and in particular the model introduced by Ritter, Musshoff, and Odening to price temperature monthly futures including weather forecasts is described in details. I’ve performed an analysis applying a simplified version of the model described, based on temperature data from Tampa, Florida, in 2007. The results show that models with meteorological forecasts indeed outperform models that ignore them.
Download or read book The Use of Weather Forecasts in the Pricing of Weather Derivatives written by Stephen Jewson and published by . This book was released on 2003 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: We discuss how weather forecasts can be used in the pricing of weather derivatives and derive results for the most important types of weather index and contract. We show that calculating the expected payoff of linear contracts on linear indices requires only forecasts of the mean temperature over the contract period. Calculating the expected payoff of linear contracts on non-linear indices requires forecasts of both the mean and the distribution of temperatures, but not of the dependence between temperature distributions on different days. Calculating the expected payoff of non-linear contracts requires forecasts of the full multivariate distribution of temperature over the whole contract. For contracts that extend beyond the end of the available forecasts, correlations between the forecast and the post-forecast periods must be taken into account when estimating this distribution. We present two methods by which this can be achieved, both of which combine information from climatological models of daily temperature with information from probabilistic forecasts.
Download or read book Pricing of Weather Derivatives written by Anandadeep Mandal and published by LAP Lambert Academic Publishing. This book was released on 2010-12 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: The performance of many firms are exposed to the changes in weather. The industry sectors exposed to 'weather risk' are basic materials, consumer durables and agricultural industries. Amongst these the basic materials has mainly triggered the demand for the weather derivatives market and the rapid growth in the weather risk assessment industry. With this as the backdrop, this book formulates a pricing model for the weather derivatives, whose payoffs depend on surface air temperature. Daily temperature data for the last thirty years is closely analyzed for four cities in U.K. to model a temperature process which captures the daily temperature fluctuations including the seasonal patterns and the year-on- year up-ward trend behaviour of the temperature.This work further evaluates an arbitrage-free option pricing using a Gaussian Ornstein-Uhlenbeck model. Keeping in mind that temperature, the underlying variable of the weather derivative, is non-tradable we consider a risk premium estimator to find the price of a weather derivatives contract. Further, the book provides results based on these models as well as based on Monte Carlo Simulations.
Download or read book Weather Derivative Valuation written by Stephen Jewson and published by . This book was released on 2005 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Arbitrage Pricing of Weather Derivatives and the Stochastic Process for the Expectation of Non Linear Weather Indices written by Stephen Jewson and published by . This book was released on 2004 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: We consider the question of how to derive a stochastic process for the expectation of a non-linear weather index. Under various reasonable assumptions we show that the stochastic process is a deterministic function of Brownian motion. This generalises earlier results which only applied to linear weather indices, and makes it possible to derive arbitrage prices for options written on swaps that settle on such a non-linear index.
Download or read book ACRN Proceedings in Finance and Risk Series 13 written by Dr. Othmar M. Lehner and published by ACRN Publishing House. This book was released on 2014-03-06 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 14th FRAP Finance, Risk and Accounting Perspectives conference taking place in Cambridge UK.
Download or read book Weather Derivatives written by Antonis Alexandridis K. and published by Springer Science & Business Media. This book was released on 2012-11-30 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weather derivatives are financial instruments that can be used by organizations or individuals as part of a risk management strategy to minimize risk associated with adverse or unexpected weather conditions. Just as traditional contingent claims, a weather derivative has an underlying measure, such as: rainfall, wind, snow or temperature. Nearly $1 trillion of the U.S. economy is directly exposed to weather-related risk. More precisely, almost 30% of the U.S. economy and 70% of U.S. companies are affected by weather. The purpose of this monograph is to conduct an in-depth analysis of financial products that are traded in the weather market. Presenting a pricing and modeling approach for weather derivatives written on various underlying weather variables will help students, researchers, and industry professionals accurately price weather derivatives, and will provide strategies for effectively hedging against weather-related risk. This book will link the mathematical aspects of the modeling procedure of weather variables to the financial markets and the pricing of weather derivatives. Very little has been published in the area of weather risk, and this volume will appeal to graduate-level students and researchers studying financial mathematics, risk management, or energy finance, in addition to investors and professionals within the financial services industry.
Download or read book Weather Derivative Pricing and the Year Ahead Forecasting of Surface Air Temperature written by Stephen Jewson and published by . This book was released on 2004 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pricing of temperature derivatives is often based on statistical methods that predict the surface air temperature a year in advance. We perform an empirical comparison of three simple methods for such year-ahead temperature forecasting and draw clear conclusions about their relative merits. The three methods we consider are the standard flat-line and best-fit linear detrending methods and the recently introduced damped linear detrending method.
Download or read book Forecast Based Pricing of Weather Derivatives written by Wolfgang K. Härdle and published by . This book was released on 2017 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting based pricing of Weather Derivatives (WDs) is a new approach in valuation of contingent claims on nontradable underlyings. Standard techniques are based on historical weather data. Forward-looking information such as meteorological forecasts or the implied market price of risk (MPR) are often not incorporated. We adopt a risk neutral approach (for each location) that allows the incorporation of meteorological forecasts in the framework of WD pricing. We study weather Risk Premiums (RPs) implied from either the information MPR gain or the meteorological forecasts. The size of RPs is interesting for investors and issuers of weather contracts to take advantages of geographic diversification, hedging effects and price determinations. By conducting an empirical analysis to London and Rome WD data traded at the Chicago Mercantile Exchange (CME), we find out that either incorporating the MPR or the forecast outperforms the standard pricing techniques.
Download or read book Pricing of Weather Derivatives written by Shih-Ying Lee and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Weather Derivative Pricing and the Year Ahead Forecasting of Temperature Part 2 written by Stephen Jewson and published by . This book was released on 2004 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: In part 1 of this article we showed results from the backtesting of different year ahead forecasting methods for US temperatures. We now attempt to explain some of the features of those results using a simple model and simulations of artificial data.
Download or read book Pricing Weather Derivative written by Melanie Cao and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes and implements an equilibrium framework for valuing weather derivatives. We generalize the Lucas model of 1978 to include the daily temperature as a fundamental variable in the economy. Temperature behavior in the past twenty years is closely studied for five major cities in the U.S., and a model is then proposed for the daily temperature variable which incorporates all the key properties of temperature behavior including seasonal cycles and uneven variations throughout the year. The model system is then estimated using the 20-year data and numerical analysis is subsequently performed for forward and option contracts on HDD's and CDD's. Key advantages of our model include the use of weather forecasts as inputs and the ability to handle contracts of any maturity, for any season. Numerical analysis shows that within our framework, the market price of risk associated with the temperature variable does not appear to impact the weather derivatives' value in a significant way, which implies it is indeed justifiable to use the riskfree rate to derive weather derivatives' values as many practitioners do in the industry. Finally, we show that the so-called historical simulation method can lead to significant pricing errors due to its erroneous implicit assumptions.
Download or read book Weather Derivative Pricing and a Preliminary Investigation into a Decision Rule for Detrending written by Stephen Jewson and published by . This book was released on 2004 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weather derivative pricing is often based on year-ahead forecasts of the weather made using simple statistical models and past weather data. Two of the simplest models in common use are the flat line and linear trend models. We consider the question of how to choose between these two models and test a simple decision rule based on closed-form expressions for the RMSE.
Download or read book Mathematical Problems and Methods of Hydrodynamic Weather Forecasting written by Vladimir Gordin and published by CRC Press. This book was released on 2000-09-20 with total page 846 pages. Available in PDF, EPUB and Kindle. Book excerpt: The material provides an historical background to forecasting developments as well as introducing recent advances. The book will be of interest to both mathematicians and physicians, the topics covered include equations of dynamical meteorology, first integrals, non-linear stability, well-posedness of boundary problems, non-smooth solutions, parameters and free oscillations, meteorological data processing, methods of approximation and interpolation and numerical methods for forecast modelling.
Download or read book Closed Form Expressions for the Uncertainty from Linear Detrending and the Pricing of Weather Derivatives written by Stephen Jewson and published by . This book was released on 2004 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weather derivative pricing is often based on a statistical analysis of past weather data. Such data may be non-stationary, and detrending methods can be used to attempt to remove the non-stationarity in the mean. The performance of different methods can be compared by considering aspects of the distribution of errors in the predictions they make. In this paper we derive closed-form expressions for the mean error, error variance and mean square error for flat line and linear trend models in the case where the real trend is linear.
