國立虎尾科技大學 |

Modeling and Valuation of Energy Structures = Analytics, Econometrics, and Numerics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modeling and Valuation of Energy Structures/ by Daniel Mahoney.
Reminder of title:	Analytics, Econometrics, and Numerics /
Author:	Mahoney, Daniel.
Description:	XVIII, 455 p.online resource. :
Contained By:	Springer Nature eBook
Subject:	Econometrics. -
Online resource:	https://doi.org/10.1057/9781137560155
ISBN:	9781137560155

Modeling and Valuation of Energy Structures = Analytics, Econometrics, and Numerics /
Mahoney, Daniel.

Modeling and Valuation of Energy StructuresAnalytics, Econometrics, and Numerics /[electronic resource] :by Daniel Mahoney. - 1st ed. 2016. - XVIII, 455 p.online resource. - Applied Quantitative Finance. - Applied Quantitative Finance.

Commodity markets present several challenges for quantitative modeling. These include high volatilities, small sample data sets, and physical, operational complexity. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value extraction through trading more difficult. These facts make it very easy for modeling efforts to run into serious problems, as many models are very sensitive to noise and hence can easily fail in practice. Modeling and Valuation of Energy Structures is a comprehensive guide to quantitative and statistical approaches that have been successfully employed in support of trading operations, reflecting the author's 17 years of experience as a front-office 'quant'. The major theme of the book is that simpler is usually better, a message that is drawn out through the reality of incomplete markets, small samples, and informational constraints. The necessary mathematical tools for understanding these issues are thoroughly developed, with many techniques (analytical, econometric, and numerical) collected in a single volume for the first time. A particular emphasis is placed on the central role that the underlying market resolution plays in valuation. Examples are provided to illustrate that robust, approximate valuations are to be preferred to overly ambitious attempts at detailed qualitative modeling.

ISBN: 9781137560155

Standard No.: 10.1057/9781137560155doiSubjects--Topical Terms:

556981
Econometrics.

LC Class. No.: HB139-141

Dewey Class. No.: 330.015195

Modeling and Valuation of Energy Structures = Analytics, Econometrics, and Numerics /
LDR:02780nam a22003975i 4500 001 973078
003 DE-He213
005 20200703010737.0
007 cr nn 008mamaa
008 201211s2016 xxk| s |||| 0|eng d
020 $a 9781137560155 $9 978-1-137-56015-5
024 7 $a 10.1057/9781137560155 $2 doi
035 $a 978-1-137-56015-5
050 4 $a HB139-141
072 7 $a KCH $2 bicssc
072 7 $a BUS021000 $2 bisacsh
072 7 $a KCH $2 thema
082 0 4 $a 330.015195 $2 23
100 1 $a Mahoney, Daniel. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1105380
245 1 0 $a Modeling and Valuation of Energy Structures $h [electronic resource] : $b Analytics, Econometrics, and Numerics / $c by Daniel Mahoney.
250 $a 1st ed. 2016.
264 1 $a London : $b Palgrave Macmillan UK : $b Imprint: Palgrave Macmillan, $c 2016.
300 $a XVIII, 455 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Applied Quantitative Finance
520 $a Commodity markets present several challenges for quantitative modeling. These include high volatilities, small sample data sets, and physical, operational complexity. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value extraction through trading more difficult. These facts make it very easy for modeling efforts to run into serious problems, as many models are very sensitive to noise and hence can easily fail in practice. Modeling and Valuation of Energy Structures is a comprehensive guide to quantitative and statistical approaches that have been successfully employed in support of trading operations, reflecting the author's 17 years of experience as a front-office 'quant'. The major theme of the book is that simpler is usually better, a message that is drawn out through the reality of incomplete markets, small samples, and informational constraints. The necessary mathematical tools for understanding these issues are thoroughly developed, with many techniques (analytical, econometric, and numerical) collected in a single volume for the first time. A particular emphasis is placed on the central role that the underlying market resolution plays in valuation. Examples are provided to illustrate that robust, approximate valuations are to be preferred to overly ambitious attempts at detailed qualitative modeling.
650 0 $a Econometrics. $3 556981
650 0 $a Finance. $3 559073
650 0 $a Business mathematics. $3 557696
650 0 $a Energy policy. $3 554736
650 0 $a Energy and state. $3 1197930
650 0 $a Mathematics. $3 527692
650 2 4 $a Finance, general. $3 1069041
650 2 4 $a Business Mathematics. $3 1063156
650 2 4 $a Energy Policy, Economics and Management. $3 784769
650 2 4 $a Mathematics, general. $3 669694
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781137560148
776 0 8 $i Printed edition: $z 9781349566884
776 0 8 $i Printed edition: $z 9781349566877
830 0 $a Applied Quantitative Finance $3 1259288
856 4 0 $u https://doi.org/10.1057/9781137560155
912 $a ZDB-2-ECF
912 $a ZDB-2-SXEF
950 $a Economics and Finance (SpringerNature-41170)
950 $a Economics and Finance (R0) (SpringerNature-43720)