Pricing of temperature index insurance

The aim of this paper is to study pricing of weather insurance contracts based on temperature indices. Three different pricing methods are analysed: the classical burn approach, index modelling and temperature modelling. We take the data from Malaysia as our empirical case. Our results show that there is a significant difference between the burn and index pricing approaches on one hand, and the temperature modelling method on the other. The latter approach is pricing the insurance contract using a seasonal autoregressive time series model for daily temperature variations, and thus provides a precise probabilistic model for the fine structure of temperature evolution. We complement our pricing analysis by an investigation of the profit/loss distribution from the contract, in the perspective of both the insured and the insurer.

[1]  L. Clewlow,et al.  Energy Derivatives: Pricing and Risk Management , 2000 .

[2]  B. Levikson,et al.  Pricing insurance contracts — an economic viewpoint , 1998 .

[3]  J. Potthoff,et al.  Hedging of Spatial Temperature Risk with Market-Traded Futures , 2011 .

[4]  Fred Espen Benth,et al.  Weather Derivatives and Stochastic Modelling of Temperature , 2011 .

[5]  J. Skees,et al.  Examining the Feasibility of Livestock Insurance in Mongolia , 2002 .

[6]  Fred Espen Benth,et al.  A Spatial-temporal Model for Temperature with Seasonal Variance , 2007 .

[7]  J. Šaltytė Benth,et al.  Putting a Price on Temperature * , 2007 .

[8]  Barry J. Barnett,et al.  Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries , 2007 .

[9]  J. Skees,et al.  Poverty Traps and Index Based Risk Transfer Products , 2006 .

[10]  Christine Ziehmann,et al.  Weather Derivative Valuation: The Meteorological, Statistical, Financial and Mathematical Foundations , 2005 .

[11]  T. Reardon,et al.  Potential Demand for Drought Insurance in Burkina Faso and its Determinants , 1997 .

[12]  J. Skees.  Innovations in Index Insurance for the Poor in Lower Income Countries , 2008, Agricultural and Resource Economics Review.

[13]  C. Turvey.  Weather Derivatives for Specific Event Risks in Agriculture , 2001 .

[14]  J. Skees.  Opportunities for Improved Efficiency in Risk Sharing Using Capital Markets , 1999 .

[15]  B. Collier,et al.  Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries , 2009 .

[16]  Sean D. Campbell,et al.  Weather Forecasting for Weather Derivatives , 2002 .

[17]  F. Benth,et al.  Stochastic Modeling of Electricity and Related Markets , 2008 .

[18]  Michael Thomas,et al.  Statistical Analysis of Extreme Values , 2008 .