from
Building and Extending Portfolio Optimization Models with MATLAB
by sri
Object-oriented implementations of the Portfo and the Black-Litterman approach
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| compareWeights( ExcessHistoricalReturns, ExcessImpliedReturns, sigma, mktCaps )
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function compareWeights( ExcessHistoricalReturns, ExcessImpliedReturns, sigma, mktCaps )
%compareWeights Helper function to compute and plot allocations
% --------------------------------------------------------------------------
% Author: Sri Krishnamurthy,CFA
% Contact: skrishna@mathworks.com
% Copyright 1984-2013 The MathWorks, Inc.
excessReturns = [ExcessHistoricalReturns ExcessImpliedReturns];
z = [sigma\ExcessHistoricalReturns sigma\ExcessImpliedReturns];
weights = [z./(ones(size(z,1))*z) mktCaps/(sum(mktCaps))];
% Note historical weights are volatile
figure;
subplot(2,1,1)
bar(excessReturns);
axis tight
% Add title and axis labels
title('Excess Returns by Asset');
xlabel('Asset');
ylabel('Excess Returns');
% Add a legend
legend('Historical', 'Implied');
subplot(2,1,2)
bar(1:length(mktCaps),weights, 1);
% Set the axis limits
axis([0 length(mktCaps)+.5 min(min(weights)) max(max(weights))+.0001]);
% Add title and axis labels
title('Weights by Asset');
xlabel('Asset');
ylabel('Weights');
% Add a legend
legend('Historical', 'Implied','Observed Market Wts');
end
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