000			03660nam a22004935i 4500
001			978-1-4614-6071-8
003			DE-He213
005			20200420211742.0
007			cr nn 008mamaa
008			121205s2013 xxu| s |||| 0|eng d
020			_a9781461460718 _9978-1-4614-6071-8
024	7		_a10.1007/978-1-4614-6071-8 _2doi
050		4	_aHG1-HG9999
072		7	_aKFF _2bicssc
072		7	_aBUS027000 _2bisacsh
082	0	4	_a332 _223
100	1		_aAlexandridis K., Antonis. _eauthor.
245	1	0	_aWeather Derivatives _h[electronic resource] : _bModeling and Pricing Weather-Related Risk / _cby Antonis Alexandridis K., Achilleas D. Zapranis.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aXVI, 300 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aThe weather derivatives market -- Introduction to Stochastic Calculus -- Handling the data -- Pricing approaches of temperature -- Modeling the daily average temperature -- Pricing temperature derivatives -- The use of meteorological forecasts -- The effects of the geographical and basis risk -- Pricing the power of the wind a.       Introduction to wind derivatives -- Precipitation Derivatives a.       Introduction -- Rainfall Derivatives -- Snow Derivatives -- Appendix A -- Appendix B -- Index -- References.
520			_aWeather 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.
650		0	_aFinance.
650		0	_aClimate change.
650		0	_aEconomics, Mathematical.
650		0	_aStatistics.
650	1	4	_aFinance.
650	2	4	_aFinance, general.
650	2	4	_aClimate Change Management and Policy.
650	2	4	_aQuantitative Finance.
650	2	4	_aStatistics for Business/Economics/Mathematical Finance/Insurance.
700	1		_aZapranis, Achilleas D. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461460701
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-6071-8
912			_aZDB-2-SBE
942			_cEBK
999			_c50764 _d50764