diff --git a/matlab/+gui/+stochastic-simulation/read.m b/matlab/+gui/+stochastic-simulation/read.m
new file mode 100644
index 0000000000000000000000000000000000000000..d9ff7ba6fa1b341e98b424faf47a29d0f9c1ff87
--- /dev/null
+++ b/matlab/+gui/+stochastic-simulation/read.m
@@ -0,0 +1,79 @@
+function run(json)
+% function varargout = run(json)
+% Read JSON and run perfect foresight solver. Potentially return output as
+% JSON
+%
+% INPUTS
+%   json         [string]   JSON string representing options to run perfect
+%                           foresight solver
+%
+% OUTPUTS
+%   none
+%
+% SPECIAL REQUIREMENTS
+%   none
+
+% Copyright (C) 2019 Dynare Team
+%
+% This file is part of Dynare.
+%
+% Dynare is free software: you can redistribute it and/or modify
+% it under the terms of the GNU General Public License as published by
+% the Free Software Foundation, either version 3 of the License, or
+% (at your option) any later version.
+%
+% Dynare is distributed in the hope that it will be useful,
+% but WITHOUT ANY WARRANTY; without even the implied warranty of
+% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+% GNU General Public License for more details.
+%
+% You should have received a copy of the GNU General Public License
+% along with Dynare.  If not, see <http://www.gnu.org/licenses/>.
+
+global M_ options_ oo_
+
+%loading JSON
+jm = loadjson(json, 'SimplifyCell', 1);
+runflag=1;
+data2json=struct();
+
+M_.exo_det_length = 0;
+for nshocks = 1:length(jm.stochasticshocksdescription)
+	covartype=jm.stochasticshocksdescription{nshocks}.shockattributevalue;
+	thisshock=(jm.stochasticshocksdescription{nshocks}.shockindex)+1;
+	assoshock=(jm.stochasticshocksdescription{nshocks}.assoshockindex)+1;
+	switch covartype
+		case 1
+			M_.Sigma_e(thisshock, thisshock) = (jm.stochasticshocksdescription{nshocks}.shockvalue)^2;
+		case 2
+			M_.Sigma_e(thisshock, thisshock) = jm.stochasticshocksdescription{nshocks}.shockvalue;
+		case 3
+			M_.Sigma_e(thisshock, assoshock) = jm.stochasticshocksdescription{nshocks}.shockvalue;
+			M_.Sigma_e(assoshock, thisshock) = M_.Sigma_e(thisshock, assoshock);
+			M_.sigma_e_is_diagonal = 0;
+		case 4
+			M_.Sigma_e(thisshock, assoshock) = 2*sqrt(M_.Sigma_e(thisshock, thisshock)*M_.Sigma_e(assoshock, assoshock));
+			M_.Sigma_e(assoshock, thisshock) = M_.Sigma_e(thisshock, assoshock);
+			M_.Correlation_matrix(thisshock, assoshock) = jm.stochasticshocksdescription{nshocks}.shockvalue;
+			M_.Correlation_matrix(assoshock, thisshock) = M_.Correlation_matrix(thisshock, assoshock);
+			M_.sigma_e_is_diagonal = 0;
+		end
+end
+
+options_.irf = jm.irfperiods;
+options_.nograph = 1;
+options_.order = jm.taylororder;
+% if jm.taylororder==3
+% 	options_.k_order_solver = 3;
+% end
+var_list_ = char();
+info = stoch_simul(var_list_);
+
+irfnames=fieldnames(oo_.irfs);
+for jj = 1:numel(fieldnames(oo_.irfs))
+	data2json.irfs.(strtrim(char(irfnames(jj))))=oo_.irfs.(irfnames{jj});
+end
+
+savejson('',data2json,'stochsimout.JSON');
+
+return;