Description
Formulate the QP as an LCP, ie write down the first order conditions of QP4 and solve.
Large Model of Type : MCP
Category : GAMS Model library
Main file : qp6.gms includes : qpdata.inc
$title Standard QP Model - QP4 expressed as MCP (QP6,SEQ=184)
$onText
Formulate the QP as an LCP, ie write down the first order
conditions of QP4 and solve.
Kalvelagen, E, Model Building with GAMS. forthcoming
de Wetering, A V, private communication.
Keywords: mixed complementarity problem, quadratic programming, finance
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$include qpdata.inc
Set
d(days) 'selected days'
s(stocks) 'selected stocks';
Alias (s,t);
* select subset of stocks and periods
d(days) = ord(days) > 1 and ord(days) < 31;
s(stocks) = ord(stocks) < 51;
Parameter
mean(stocks) 'mean of daily return'
dev(stocks,days) 'deviations'
totmean 'total mean return';
mean(s) = sum(d, return(s,d))/card(d);
dev(s,d) = return(s,d) - mean(s);
totmean = sum(s, mean(s))/(card(s));
Variable
x(stocks) 'investments'
w(days) 'intermediate variables';
Positive Variable x;
Equation
budget
retcon 'return constraint'
wdef(days);
wdef(d).. w(d) =e= sum(s, x(s)*dev(s,d));
budget.. sum(s, x(s)) =e= 1.0;
retcon.. sum(s, mean(s)*x(s)) =g= totmean*1.25;
Equation
d_x(stocks)
d_w(days);
Variable
m_budget
m_wdef(days);
Positive Variable
m_retcon;
m_wdef.fx(days)$(not d(days)) = 0;
d_x(s).. sum(d,m_wdef(d)*dev(s,d)) =g= m_retcon*mean(s) + m_budget;
d_w(d).. 2*w(d)/(card(d) - 1) =e= m_wdef(d);
Model qp6 / d_x.x, d_w.w, retcon.m_retcon, budget.m_budget, wdef.m_wdef /;
solve qp6 using mcp;
Parameter z;
z = sum(d, sqr(w.l(d)))/(card(d) - 1);
display x.l, z;