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資源簡(jiǎn)介

多因子模型構(gòu)建。多因子模型是量化選股中最重要的一類模型,其基本思想就是找到某些和收益率最相關(guān)的指標(biāo)。并根據(jù)該指標(biāo),構(gòu)建一個(gè)股票組合,期望該組合在未來的一段時(shí)間跑贏或者跑輸指數(shù)。如果跑贏,則可以

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代碼片段和文件信息

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%函數(shù)說明:
%函數(shù)作用:用來對(duì)數(shù)據(jù)進(jìn)行分段分段回歸
%輸入?yún)?shù):
%Ref:用來對(duì)函數(shù)分段的參數(shù)值;Name:股票代碼(數(shù)字類型);
%x:用于回歸的自變量;y:用于回歸的因變量;index:表示時(shí)間序列回歸(1)或橫截面回歸(2)。
%輸出參數(shù):
%beta:每個(gè)月(每個(gè)股票)的每個(gè)因子的載荷;p:相對(duì)beta的每個(gè)p值;
%esmR:每只股票每個(gè)月估計(jì)收益率值;R2:相應(yīng)R方的值;esm:因子預(yù)測(cè)值。
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function?[betapesmRR2esm]?=?FactorLoading(RefNamexyindex)
%index為1:時(shí)間序列回歸;為2:橫截面回歸
[mn]=size(x);
q?=?size(unique(Ref)1);
%得到每個(gè)月因子載荷(含截距項(xiàng))(第q個(gè)月)(第q只股票)

beta(qn+1)?=?zeros();
p(qn+1)?=?zeros();
R2(q)?=?zeros();
esm(n+1q)?=?zeros();
if?index?==?1
????esmR(q2)?=?zeros();
elseif?index?==?2
????esmR(3002*q)?=?zeros();
end
first?=?1;
j?=?1;
for?i?=?2?:m
????if?isequal(Ref(i)Ref(i-1))?==?false?||?i?==?m
????????last?=i-1;
?????????if?last-fi

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

?????文件???????6148??2015-09-16?18:13??MatlabCode\.DS_Store

?????文件????4052592??2015-09-14?17:33??MatlabCode\300MonthFormulaRt.xlsx

?????文件???????1922??2015-09-16?18:02??MatlabCode\FactorLoading.m

?????文件???????5116??2015-09-16?17:51??MatlabCode\FactorMain.m

?????文件????????860??2015-09-16?18:11??MatlabCode\markowizt.m

?????文件???????1350??2015-09-16?18:14??MatlabCode\Pca.m

?????目錄??????????0??2015-11-10?17:06??MatlabCode

-----------?---------??----------?-----??----

??????????????4067988????????????????????7


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