Download or read book Weather Derivative Pricing and the Modelling of Trends written by Stephen Jewson and published by . This book was released on 2008 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published methods for the pricing of weather derivatives are based on classical statistics, in that the predictions of the distributions of weather indices that they use are based on best estimates of model parameters. It is likely that such methods do not accurately capture the true uncertainty because they either ignore or approximate parameter and model uncertainty. In this article we derive the objective Bayesian versions of the flat-line and linear-trend models. The use of objective Bayesian statistics allows us to incorporate parameter uncertainty into the predictive distribution in a simple way. The result is a change in the shape of the predictive distribution, but no change in the predicted mean and variance, when compared with comparable classical statistical methods. We also derive a Bayesian version of the damped linear-trend model, which, in a limited sense, also incorporates model uncertainty.
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 Weather Derivative Pricing and the Detrending of Meteorological Data written by Stephen Jewson and published by . This book was released on 2005 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is often desirable to remove the trends from historical meteorological data prior to using that data for the pricing of weather derivatives. In previous articles we have introduced the method of damped linear detrending and argued that it is an effective way to remove trends when the trends are approximately linear. In this article we show that damped linear detrending can be interpreted in three different ways: as a mixture of the linear and flat-line models, as a linear model with the trend slope reduced, and as a linear model with reverse extrapolation.
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 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 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: The actuarial pricing of weather swaps often depends on predicting the temperature several months in advance. Such predictions can be made by modelling the trends in historical temperature indices and extrapolating them forward in time. Linear trends are one of the simplest types of trend model one can use. They have two parameters: the mean level, and the trend rate. The mean level is probably best estimated from local data, but it is not obvious how best to estimate the trend rate: in this study we compare the performance of predictions based on local and global trend rate estimates.
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 Interpretation of Linear Trend Models 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 interpret the flat line, best fit linear trend and damped linear trend models as a sequence of weights on historical index values. This gives further insight into some of the properties of these models.
Download or read book Time series modelling for weather derivatives pricing written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: O mercado de Derivativos Climáticos no Brasil ainda é incipiente. Uma dasbarreiras que atrapalham o aumento da liquidez no mercado é certamente aincerteza que está por traz da precificação e a falta de conhecimento por váriossetores dos campos de aplicação potenciais desses derivativos. Com o objetivo dereduzir esta incerteza, este estudo revê abordagens para modelar e estabelecerprevisões por modelos de séries temporais para a temperatura na cidade do Rio deJaneiro, e consequentemente para o índice de Cooling Degree Days (CDD) destalocalidade. Três modelos são propostos para a previsão da média diária detemperatura, dois benchmark (Holt-Winters e Box & Jenkins) e um pelaTransformação de Fourier combinado com o processo GARCH para a variância. Osresultados sugerem que o modelo baseado na transformação de Fourier conseguemelhor performance na previsão que os demais.
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 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 Derivatives written by S. Volker and published by GRIN Verlag. This book was released on 2007-08 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (undergraduate) from the year 2006 in the subject Business economics - Investment and Finance, grade: 1,7, University of Applied Sciences Essen, course: Case study in the core subject International Management - Risk Management, language: English, abstract: The ability to hedge price risks of industrial and consumer goods is well-developed an widely used, but, for many customers and companies, a variance in the unit volume being caused by a unexpected weather situation can be as detrimental to the bottom line as unit price variation. In the past, market participants were exposed defencelessly to this risk, because "weather has been anything but predictable..." There was bundle of incidents in the late 90's which lead to the development of weather derivatives as a new, flexible instrument to mitigate risk resulting from weather: First, the changing world climate causes more often extreme weather situations such as El Nino. Weather catastrophes like the hurricanes Katrina and Rita in the USA, summer flood of 2002 and the desert summer of 2003 in Germany have been increasing the awareness of weather risks among the population and in the management of the companies. Unforeseen weather conditions may cause a decline in companies' earnings. It is likely to imagine, that, for example, a cold and rainy summer will lead to a plummeting consumption of ice cream. In times of an upward tending importance of the shareholder value approach, a professional and effective risk management is inalienable. Insurance policies can cover catastrophic damages, but derivatives are an efficient tool to face financial risks resulting from the weather and to stabilize earnings. Secondly, the worldwide markets are changing. Formerly strictly regulated markets show an ongoing trend of deregulation and therefore a development from monopolies to wholesale markets. Facing a new, competitive situation, companies have to realize, that it does not last to hedge the unit price of their go
Download or read book Modeling and Pricing in Financial Markets for Weather Derivatives written by Fred Espen Benth and published by World Scientific. This book was released on 2013 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weather derivatives provide a tool for weather risk management, and the markets for these exotic financial products are gradually emerging in size and importance. This unique monograph presents a unified approach to the modeling and analysis of such weather derivatives, including financial contracts on temperature, wind and rain. Based on a deep statistical analysis of weather factors, sophisticated stochastic processes are introduced modeling the time and space dynamics. Applying ideas from the modern theory of mathematical finance, weather derivatives are priced, and questions of hedging analyzed. The treatise contains an in-depth analysis of typical weather contracts traded at the Chicago Mercantile Exchange (CME), including so-called CDD and HDD futures. The statistical analysis of weather variables are based on a large data set from Lithuania. The monograph includes the research done by the authors over the last decade on weather markets. Their work has gained considerable attention, and has been applied in many contexts.
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.
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 Temperature Models for Pricing Weather Derivatives written by Frank Schiller and published by . This book was released on 2012 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present four models for predicting temperatures that can be used for pricing weather derivatives. Three of the models have been suggested in prior literature, and we suggest another model which uses splines to remove trend and seasonality effects from temperature time series in a flexible way. Using historical temperature data from 35 weather stations across the United States, we test the performance of the models by evaluating virtual heating degree days (HDD) and cooling degree days (CDD) contracts. We find that all models perform better when predicting HDD indices than predicting CDD indices. However, all models based on a daily simulation approach significantly underestimate the variance of the errors.
Download or read book Weather Derivative Pricing and the Year Ahead Forecasting of Temperature Part 1 written by Stephen Jewson and published by . This book was released on 2004 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: We consider the question of how many years of data and what trends to use to make the year ahead temperature forecasts that are needed in weather derivative pricing. We address this question with a backtesting study using 50 years of historical temperature data for 200 US locations.
