cfactor.m

来自「仿真人工金融市场Jackson代码」· M 代码 · 共 153 行

#import "CFactor.h"

@implementation CFactor

-createEnd {
  return self;
}	

-setInitialConditions {
cfpercentage = 0.0;
lastCF = 0.0;
lastCF1 = 0.0;
cFQ=0.0;
transmitEffe = 0.0;
return self;
}


-setMin: (double) min andMax: (double) Max {
minimo = min;
massimo = Max;
return self;
}

-setMedia: (double) med andVarianza: (double) Varian {
media = med;  
varianza = Varian;
return self;
}

-setType: (int) n_u {
tipo_random = n_u;   
return self;
}



-(double) getLastCF {
return lastCF;
}

// this function give the quantity product from the counterfactor
-(double)getQuantityCFactor {
double coeff;
double cVariable;
double qCF;
cVariable = [[modelswarm getFirm] getVariableCost]; 
coeff = (cfpercentage*[[modelswarm getMarket] getBeta])/(cVariable+ [[modelswarm getMarket] 
getBeta]);
qCF = coeff* [[modelswarm getFirm] getLastMonop];
if (qCF<=0) 
{
	qCF=0;
}
transmitEffe = cfpercentage;
cFQ=qCF;
 return qCF;

}


-(double)getCFQ {
return cFQ;
}

-step {
lastCF=lastCF1;
lastCF1 = [self getQuantityCFactor];
  return self;

}


// Setting variables

//let's calculate the shock we add to the variable f
// The shock can be a uniforma ramdom or normal one, depending on the choose
// of the player

-shock_f {
if ([modelswarm getChoiceF] !=0) {
if (tipo_random ==0)  // la variabile random e' quella uniforme
      [self shock_f_Uniform];
else
      [self shock_f_Normal];
  }  else // costante
cfpercentage = [modelswarm getCFactorF]; 
return self;
}

// This method calculate the uniform random between a min or a max value the player
//choose in the initial probe.
-shock_f_Uniform {
if ([modelswarm getTime]!=0) {
cfpercentage +=[modelswarm getDblWithMin: minimo withMax: massimo];
if (cfpercentage >1) cfpercentage = 1;
if (cfpercentage <=0) cfpercentage = 1E-9;
   } 
return self;
}



// This method calculate the normal random between a min or a max value the player
//choose in the initial probe.
-shock_f_Normal {
id aNormalDist;
aNormalDist = [NormalDist create: [self getZone] setGenerator:randomGenerator setMean: media setVariance: varianza] ;
cfpercentage += [aNormalDist getDoubleSample];
if (cfpercentage >1) cfpercentage = 1;
if (cfpercentage <=0) cfpercentage = 1E-9;
return self;
}


-setF: (double) effe {
cfpercentage = effe;
return self;
}


-(double) getFF {
 if ([modelswarm getTime]==0) {
  return cfpercentage; } 
 else {
  return transmitEffe; 
   }
}


-setModel: mo {
  modelswarm = mo;
  return self;
}

-updateCF {
 lastCF=lastCF1;
return self;
}

@end