diff --git a/matlab/ep/extended_path.m b/matlab/ep/extended_path.m
index c17a66c21..2a8aa1e7e 100644
--- a/matlab/ep/extended_path.m
+++ b/matlab/ep/extended_path.m
@@ -204,7 +204,7 @@ while (t<sample_size)
     while 1
         if ~increase_periods
             if bytecode_flag && ~options_.ep.stochastic.order
-                [flag,tmp] = bytecode('dynamic',endo_simul_1,exo_simul_1);
+                [flag,tmp] = bytecode('dynamic',endo_simul_1,exo_simul_1, M_.params, endo_simul_1, options_.ep.periods);
             else
                 flag = 1;
             end
@@ -288,7 +288,7 @@ while (t<sample_size)
             end
             % Solve the perfect foresight model with an increased number of periods.
             if bytecode_flag && ~options_.ep.stochastic.order
-                [flag,tmp] = bytecode('dynamic',endo_simul_1,exo_simul_1);
+                [flag,tmp] = bytecode('dynamic',endo_simul_1,exo_simul_1, M_.params, endo_simul_1, options_.ep.periods);
             else
                 flag = 1;
             end
diff --git a/matlab/ep/setup_stochastic_perfect_foresight_model_solver.m b/matlab/ep/setup_stochastic_perfect_foresight_model_solver.m
index f6c455d32..3df0a788b 100644
--- a/matlab/ep/setup_stochastic_perfect_foresight_model_solver.m
+++ b/matlab/ep/setup_stochastic_perfect_foresight_model_solver.m
@@ -68,4 +68,5 @@ pfm.dynamic_model = str2func([DynareModel.fname,'_dynamic']);
 pfm.verbose = DynareOptions.ep.verbosity;
 pfm.maxit_ = DynareOptions.simul.maxit;
 pfm.tolerance = DynareOptions.dynatol.f;
+pfm.use_bytecode = DynareOptions.ep.use_bytecode ;