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ID:39149175
大小:374.43 KB
页数:122页
时间:2019-06-25
《02 Portfolio Optimization June 2012》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、FundamentalsofOptimizationandApplicationtoPortfolioSelectionFundamentalsofOptimizationandApplicationtoPortfolioSelectionCQF1/122FundamentalsofOptimizationandApplicationtoPortfolioSelectionInthislecture...FundamentalsofOptimization:Ihowtoformulateanoptim
2、izationproblem;Ihowtousecalculustosolveunconstrainedoptimizationproblems;IapplicationtolinearregressionIconstrainedoptimizationproblemsandthemethodofLagrange;ItheKuhn-Tuckerconditions;2/122FundamentalsofOptimizationandApplicationtoPortfolioSelectionAppl
3、icationtoportfolioselection:IhowtoselectaportfoliointheMarkowitzworld;Itheminimumvarianceportfolio;Iportfolioselectionwitharisk-freeasset;IhowtoderivetheCAPM.3/122FundamentalsofOptimizationandApplicationtoPortfolioSelectionPartI:FundamentalsofOptimizati
4、on4/122FundamentalsofOptimizationandApplicationtoPortfolioSelection1-IntroductionAnoptimizationproblemisoneinwhichyouaretryingtondthebestpossiblevalue"thatafunction,sayf,cantakesubjecttoanumberofconstraints.Thisgenerallyinvolvesndingtheminimumormaxim
5、umofforofafunctionbuiltaroundf.Optimizationtechniquesareveryoftenusedinnancetosolveawiderangeofproblemsrangingfromcalculatingthevalueofabondyield,tosolvingaportfolioselectionproblemindiscreteandcontinuoustimeandtovaluingderivativessuchasAmericanandpass
6、portoptions.5/122FundamentalsofOptimizationandApplicationtoPortfolioSelectionAsoptimizationproblemscomeinallshapeandforms,youshouldexpectsometobeincrediblyeasytosolveandsomeothertobeincrediblyhard.Inanycase,formulatingtheproblemwellwillspareyoumanyheada
7、ches.6/122FundamentalsofOptimizationandApplicationtoPortfolioSelection2-FormulatinganoptimizationproblemOptimizationproblemsaremostoftendenedasminf(x1;:::;xn)(1)x1;:::;xnsubjectto:98g1(x1;:::;xn)>=>;>:gm(x1;:::;xn)bm7/122FundamentalsofOpti
8、mizationandApplicationtoPortfolioSelectionThefunctionfiscalledtheobjectivefunction.Itisthefunctionwewanttooptimize(hereminimize).Thevariablesx1;:::;xnarethedecisionvariableswithrespecttowhichwewanttooptimizethefunction.Thefunctio
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