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Bibliographies thématiques / Optimal Hedging

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Littérature scientifique sur le sujet « Optimal Hedging »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 10 mars 2023

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Thèses sur le sujet "Optimal Hedging"

1

Chen, Fei. "Essays on Optimal Hedging in Financial Markets." Thesis, University of Reading, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533745.

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2

Xu, Weijun Banking &amp Finance Australian School of Business UNSW. "Optimal hedging strategy in stock index future markets." Awarded by:University of New South Wales. Banking & Finance, 2009. http://handle.unsw.edu.au/1959.4/43728.

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In this thesis we search for optimal hedging strategy in stock index futures markets by providing a comprehensive comparison of variety types of models in the related literature. We concentrate on the strategy that minimizes portfolio risk, i.e., minimum variance hedge ratio (MVHR) estimated from a range of time series models with different assumptions of market volatility. There are linear regression models assuming time-invariant volatility; GARCH-type models capturing time-varying volatility, Markov regime switching (MRS) regression models assuming state-varying volatility, and MRS-GARCH mo

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3

Oosterhof, Casper Martijn. "Essays on corporate risk management and optimal hedging." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2006. http://irs.ub.rug.nl/ppn/298196808.

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4

Li, Yanmin. "Optimal hedging under transaction costs and implied trees." Thesis, University of Warwick, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418116.

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5

Kamgaing, Moyo Clinsort. "Optimal hedging under price, quantity and exchange rate uncertainty." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/37696.

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Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1986.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY<br>Bibliography: leaf 46.<br>by Moyo Clinsort Kamgaing.<br>M.S.

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6

Ndounkeu, Ludovic Tangpi. "Optimal cross hedging of Insurance derivatives using quadratic BSDEs." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/17950.

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Thesis (MSc)--Stellenbosch University, 2011.<br>ENGLISH ABSTRACT: We consider the utility portfolio optimization problem of an investor whose activities are influenced by an exogenous financial risk (like bad weather or energy shortage) in an incomplete financial market. We work with a fairly general non-Markovian model, allowing stochastic correlations between the underlying assets. This important problem in finance and insurance is tackled by means of backward stochastic differential equations (BSDEs), which have been shown to be powerful tools in stochastic control. To lay stress on t

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7

Lindholm, Love. "Calibration and Hedging in Finance." Licentiate thesis, KTH, Numerisk analys, NA, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156077.

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This thesis treats aspects of two fundamental problems in applied financial mathematics: calibration of a given stochastic process to observed marketprices on financial instruments (which is the topic of the first paper) and strategies for hedging options in financial markets that are possibly incomplete (which is the topic of the second paper). Calibration in finance means choosing the parameters in a stochastic process so as to make the prices on financial instruments generated by the process replicate observed market prices. We deal with the so called local volatility model which is one of

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8

Savina, Oksana Yurievna. "On optimal hedging and redistribution of catastrophe risk in insurance." Thesis, London School of Economics and Political Science (University of London), 2008. http://etheses.lse.ac.uk/2041/.

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The purpose of the thesis is to analyse the management of various forms of risk that affect entire insurance portfolios and thus cannot be eliminated by increasing the number of policies, like catastrophes, financial market events and fluctuating insurance risk conditions. Three distinct frameworks are employed. First, we study the optimal design of a catastrophe-related index that an insurance company may use to hedge against catastrophe losses in the incomplete market. The optimality is understood in terms of minimising the remaining risk as proposed by Follmer and Schweizer. We compare seve

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9

Sayle, James Hughes. "Optimal hedging strategies for early-planted soybeans in the South." Master's thesis, Mississippi State : Mississippi State University, 2007. http://library.msstate.edu/etd/show.asp?etd=etd-06192007-141148.

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10

Kollar, Jozef. "Optimal Martingale measures and hedging in models driven by Levy processes." Thesis, Heriot-Watt University, 2011. http://hdl.handle.net/10399/2508.

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Our research falls into a broad area of pricing and hedging of contingent claims in incomplete markets. In the rst part we introduce the L evy processes as a suitable class of processes for nancial modelling purposes. This in turn causes the market to become incomplete in general and therefore the martingale measure for the pricing/hedging purposes has to be chosen by introducing some subjective criteria. We study several such criteria in the second section for a general stochastic volatility model driven by L evy process, leading to minimal martingale measure, variance-optimal, or the more ge

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