public DcfVM(DataGrid dataGrid, DcfDataDao dcfDataDao, DcfInput dcfInput, FinDataDao finDataDao, FinDataAdapter finDataAdapter)
{
_dataGrid = dataGrid;
_rowMapping = Rowmapping.DcfRows();
_showForecastTable = new ObservableCollection<ForecastData>();
_columnHeader = new List<string>();
_dcfDataDao = dcfDataDao;
_dcfInput = dcfInput;
_finDataDao = finDataDao;
_finDataAdapter = finDataAdapter;
_finDataAdapter.DcfOutput.PropertyChanged += OutputChangedEventHandler;
}
public void AddDcfInput(DcfInput di)
{
_dcfInput = di;
}
/// <summary>
/// Beta arvutus
/// </summary>
/// <param name="finDataAdapter">Adapter kõigi finantsandmete kättesaamise jaoks</param>
/// <param name="dcfInput">DCF arvutuste eelduste hoidja</param>
public static void CalculateBeta(FinDataAdapter finDataAdapter, DcfInput dcfInput)
{
BivariateSample bivariate = new BivariateSample();
MultivariateSample mv = new MultivariateSample(2);
decimal prevPrice = 0;
double? prevIndex = null;
decimal curPrice = 0;
double? curIndex = null;
int k = 0;
for (int i = 0; i < finDataAdapter.PriceDataDao.PriceDatas.Count; i = i + 22)
{
if (k < 36)
{
PriceData pd = finDataAdapter.PriceDataDao.PriceDatas[i];
curPrice = pd.AdjClose;
curIndex = finDataAdapter.PriceDataDao.GetClosePrice(pd.PriceDate, finDataAdapter.PriceDataDao.IndexDatas)[0];
if (curPrice != 0 && curIndex != null && prevPrice != 0 && prevIndex != null)
{
//MessageBox.Show("s:" + ((double)(prevPrice / curPrice) - 1));
//MessageBox.Show("i:" + ((double)(prevIndex / curIndex) - 1));
////bivariate.Add((double) (prevPrice/curPrice)-1,(double) (prevIndex/curIndex)-1);
double[] db = new double[2];
db[0] = ((double)(prevPrice / curPrice) - 1);
db[1] = ((double)(prevIndex / curIndex) - 1);
mv.Add(db);
}
prevPrice = curPrice;
prevIndex = curIndex;
//DateTime dt = finDataAdapter.PriceDataDao.PriceDatas[i].PriceDate;
//MessageBox.Show(finDataAdapter.PriceDataDao.PriceDatas[i].AdjClose + " " +
// dt.ToShortDateString());
//MessageBox.Show(finDataAdapter.PriceDataDao.GetClosePrice(dt, finDataAdapter.PriceDataDao.IndexDatas)[0].ToString());
}
k++;
}
if (mv.Count > 10)
{
//FitResult fitResult = bivariate.LinearRegression();
FitResult fitResult = mv.LinearRegression(0);
dcfInput.Beta = fitResult.Parameter(1).Value;
List<FinData> finDatas = finDataAdapter.FinDataDao.FinDatas;
dcfInput.CostOfEquity = dcfInput.RiskFreeRate + dcfInput.Beta * dcfInput.MarketRiskPremium;
double debt = 0;
if (finDatas[finDatas.Count - 1].BsCurrentPortionOfLongTermDebt != null)
{
debt += (double)finDatas[finDatas.Count - 1].BsCurrentPortionOfLongTermDebt;
}
if (finDatas[finDatas.Count - 1].BsTotalLongTermDebt != null)
{
debt += (double)finDatas[finDatas.Count - 1].BsTotalLongTermDebt;
}
double total = 0.0;
if (finDatas[finDatas.Count - 1].BsShareholdersEquity1 != null)
{
total += (double)(finDatas[finDatas.Count - 1].BsShareholdersEquity1);
}
total += debt;
try
{
dcfInput.Wacc = dcfInput.CostOfEquity *
(double)(finDatas[finDatas.Count - 1].BsShareholdersEquity1 / total) +
dcfInput.CostOfDebt * (double)(debt / total) * (1 - dcfInput.TaxRate);
}
catch (InvalidOperationException) { }
//MessageBox.Show("beta: "+fitResult.Parameter(1).Value.ToString());
//double[] pars = fitResult.Parameters();
//foreach (var par in pars)
//{
// MessageBox.Show(par.ToString());
//}
//MessageBox.Show(fitResult.CorrelationCoefficient(0,1).ToString());
//double[] gfit = fitResult.
//MessageBox.Show(fitResult.);
//MessageBox.Show(fitResult.Parameter(2).ToString());
}
}
/// <summary>
/// Meetod kõigi sisendite (ehk eelduste) välja arvutamiseks
/// </summary>
/// <param name="finDataAdapter">Adapter kõigi finantsandmete kättesaamise jaoks</param>
/// <param name="dcfInput">DCF arvutuste eelduste hoidja</param>
public static void CalculateInput(FinDataAdapter finDataAdapter, DcfInput dcfInput)
{
CalculateCorrelation(finDataAdapter, dcfInput);
int requiredPeriodsForMean = 1;
List<FinData> finDatas = finDataAdapter.FinDataDao.FinDatas;
int k = 0;
Sample sampleRevenue = new Sample();
Sample sampleTax = new Sample();
Sample sampleInterest = new Sample();
Sample sampleTotalAssets = new Sample();
Sample sampleTotalLiabilities = new Sample();
Sample sampleTotalCurrentAssets = new Sample();
Sample sampleTotalCurrentLiabilities = new Sample();
Sample sampleAllCosts = new Sample();
Sample sampleEbitda = new Sample();
Sample sampleDepreciation = new Sample();
Sample sampleEbit = new Sample();
for (int i = finDatas.Count - 1; i >= 4; i--)
{
if (k < 12)
{
if (k == 0)
{
try
{
dcfInput.SharesOutstanding = (double)finDatas[i].BsCommonSharesOutstanding;
}
catch (InvalidOperationException) { }
}
try
{
double RevenueGrowth = (double)(finDatas[i].IsRevenue / finDatas[i - 4].IsRevenue) - 1;
sampleRevenue.Add(RevenueGrowth);
}
catch (InvalidOperationException) { }
try
{
double taxRate = (double)((finDatas[i].IsPretaxIncome - finDatas[i].IsIncomeAfterTax) / finDatas[i].IsPretaxIncome);
sampleTax.Add(taxRate);
}
catch (InvalidOperationException) { }
double debt = 0;
if (finDatas[i].BsCurrentPortionOfLongTermDebt != null)
{
debt += (double)finDatas[i].BsCurrentPortionOfLongTermDebt;
}
if (finDatas[i].BsTotalLongTermDebt != null)
{
debt += (double)finDatas[i].BsTotalLongTermDebt;
}
if (finDatas[i].FrInterestExpense != null && debt != 0.0)
{
double interest = (double)(finDatas[i].FrInterestExpense) / debt;
if (interest < 0.2)
{
sampleInterest.Add(interest);
}
}
if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].BsTotalAssets != null)
{
double temp = (double)(finDatas[i].BsTotalAssets / finDatas[i].IsRevenue);
if (temp > 0.5 && temp < 50)
{
sampleTotalAssets.Add(temp);
}
}
if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].BsTotalLiabilities != null)
{
double temp = (double)(finDatas[i].BsTotalLiabilities / finDatas[i].IsRevenue);
if (temp > 0.5 && temp < 50)
{
sampleTotalLiabilities.Add(temp);
}
}
if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].BsTotalCurrentAssets != null)
{
double temp = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i].IsRevenue);
if (temp > 0.5 && temp < 50)
{
sampleTotalCurrentAssets.Add(temp);
}
}
if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].BsTotalCurrentLiabilities != null)
{
double temp = (double)(finDatas[i].BsTotalCurrentLiabilities / finDatas[i].IsRevenue);
if (temp > 0.5 && temp < 50)
{
sampleTotalCurrentLiabilities.Add(temp);
}
}
double allCosts = 0.0;
if (finDatas[i].IsTotalOperatingExpenses != null)
{
allCosts += (double)finDatas[i].IsTotalOperatingExpenses;
}
if (finDatas[i].IsDepreciationAmortization != null)
{
allCosts -= (double)finDatas[i].IsDepreciationAmortization;
}
if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && allCosts != 0.0)
{
double temp = (double)(allCosts / finDatas[i].IsRevenue);
if (temp > 0.1 && temp < 1)
{
sampleAllCosts.Add(temp);
}
}
if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].FrEbitda != null)
{
double temp = (double)(finDatas[i].FrEbitda / finDatas[i].IsRevenue);
if (temp > -1.0 && temp < 1.0)
{
sampleEbitda.Add(temp);
}
}
if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].IsDepreciationAmortization != null)
{
double temp = (double)(finDatas[i].IsDepreciationAmortization / finDatas[i].IsRevenue);
if (temp > -1.0 && temp < 1.0)
{
sampleDepreciation.Add(temp);
}
}
if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].FrEbit != null)
{
double temp = (double)(finDatas[i].FrEbit / finDatas[i].IsRevenue);
if (temp > -1.0 && temp < 1.0)
{
sampleEbit.Add(temp);
}
}
}
k++;
}
if (sampleRevenue.Count >= requiredPeriodsForMean)
{
dcfInput.GrowthRatePrognosis = sampleRevenue.Mean;
}
if (sampleTax.Count >= requiredPeriodsForMean)
{
dcfInput.TaxRate = sampleTax.Mean;
}
if (sampleInterest.Count >= requiredPeriodsForMean)
{
dcfInput.CostOfDebt = sampleInterest.Mean;
}
if (sampleTotalAssets.Count >= requiredPeriodsForMean)
{
dcfInput.TotalAssetsPrcRevenue = sampleTotalAssets.Mean;
}
if (sampleTotalLiabilities.Count >= requiredPeriodsForMean)
{
dcfInput.TotalLiabilitiesPrcRevenue = sampleTotalLiabilities.Mean;
}
if (sampleTotalCurrentAssets.Count >= requiredPeriodsForMean)
{
dcfInput.TotalCurrentAssetsPrcRevenue = sampleTotalCurrentAssets.Mean;
}
if (sampleTotalCurrentLiabilities.Count >= requiredPeriodsForMean)
{
dcfInput.TotalCurrentLiabilitiesPrcRevenue = sampleTotalCurrentLiabilities.Mean;
}
if (sampleAllCosts.Count >= requiredPeriodsForMean)
{
dcfInput.AllCostsPrcRevenue = sampleAllCosts.Mean;
}
if (sampleEbitda.Count >= requiredPeriodsForMean)
{
dcfInput.EbitdaPrcRevenue = sampleEbitda.Mean;
}
if (sampleDepreciation.Count >= requiredPeriodsForMean)
{
dcfInput.DepreciationPrcRevenue = sampleDepreciation.Mean;
}
if (sampleEbit.Count >= requiredPeriodsForMean)
{
dcfInput.EbitPrcRevenue = sampleEbit.Mean;
}
}
/// <summary>
/// Korrelatsiooni arvutus valitud näitajate jaoks (Total Assets, Total Liabilities, Total Current Assets, Total Current Liabilities: vs Reveneue)
/// </summary>
/// <param name="finDataAdapter">Adapter kõigi finantsandmete kättesaamise jaoks</param>
/// <param name="dcfInput">DCF arvutuste eelduste hoidja</param>
public static void CalculateCorrelation(FinDataAdapter finDataAdapter, DcfInput dcfInput)
{
MultivariateSample mvTA = new MultivariateSample(2);
MultivariateSample mvTL = new MultivariateSample(2);
MultivariateSample mvCA = new MultivariateSample(2);
MultivariateSample mvCL = new MultivariateSample(2);
int k = 0;
List<FinData> finDatas = finDataAdapter.FinDataDao.FinDatas;
for (int i = finDataAdapter.FinDataDao.FinDatas.Count - 1; i >= 0; i--)
{
if (k < 20)
{
double revChange = 0;
try
{
//revChange = (double) (finDatas[i].IsRevenue/finDatas[i - 5].IsRevenue);
revChange = (double)finDatas[i].IsRevenue;
}
catch (InvalidOperationException) { }
double caChange = 0;
try
{
//secChange = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i - 5].BsTotalCurrentAssets);
caChange = (double)finDatas[i].BsTotalCurrentAssets;
}
catch (InvalidOperationException) { }
double clChange = 0;
try
{
//secChange = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i - 5].BsTotalCurrentAssets);
clChange = (double)finDatas[i].BsTotalCurrentLiabilities;
}
catch (InvalidOperationException) { }
double taChange = 0;
try
{
//secChange = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i - 5].BsTotalCurrentAssets);
taChange = (double)finDatas[i].BsTotalAssets;
}
catch (InvalidOperationException) { }
double tlChange = 0;
try
{
//secChange = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i - 5].BsTotalCurrentAssets);
tlChange = (double)finDatas[i].BsTotalLiabilities;
}
catch (InvalidOperationException) { }
//MessageBox.Show("s:" + ((double)(prevPrice / curPrice) - 1));
//MessageBox.Show("i:" + ((double)(prevIndex / curIndex) - 1));
////bivariate.Add((double) (prevPrice/curPrice)-1,(double) (prevIndex/curIndex)-1);
double[] db = new double[2];
db[0] = caChange;
db[1] = revChange;
if (db[0] != 0 || db[1] != 0)
mvCA.Add(db);
db = new double[2];
db[0] = clChange;
db[1] = revChange;
if (db[0] != 0 || db[1] != 0)
mvCL.Add(db);
db = new double[2];
db[0] = taChange;
db[1] = revChange;
if (db[0] != 0 || db[1] != 0)
mvTA.Add(db);
db = new double[2];
db[0] = tlChange;
db[1] = revChange;
if (db[0] != 0 || db[1] != 0)
mvTL.Add(db);
//DateTime dt = finDataAdapter.PriceDataDao.PriceDatas[i].PriceDate;
//MessageBox.Show(finDataAdapter.PriceDataDao.PriceDatas[i].AdjClose + " " +
// dt.ToShortDateString());
//MessageBox.Show(finDataAdapter.PriceDataDao.GetClosePrice(dt, finDataAdapter.PriceDataDao.IndexDatas)[0].ToString());
}
k++;
}
// peab vähemalt olema 3 vaatlust
if (mvCA.Count > 2)
{
//FitResult fitResult = bivariate.LinearRegression();
FitResult fitResult = mvCA.LinearRegression(0);
dcfInput.TotalCurrentAssetsBeta = fitResult.Parameter(1).Value;
dcfInput.TotalCurrentAssetsAlpha = fitResult.Parameter(0).Value;
fitResult = mvCL.LinearRegression(0);
dcfInput.TotalCurrentLiabilitiesBeta = fitResult.Parameter(1).Value;
dcfInput.TotalCurrentLiabilitiesAlpha = fitResult.Parameter(0).Value;
fitResult = mvTA.LinearRegression(0);
dcfInput.TotalAssetsBeta = fitResult.Parameter(1).Value;
dcfInput.TotalAssetsAlpha = fitResult.Parameter(0).Value;
fitResult = mvTL.LinearRegression(0);
dcfInput.TotalLiabilitiesBeta = fitResult.Parameter(1).Value;
dcfInput.TotalLiabilitiesAlpha = fitResult.Parameter(0).Value;
//MessageBox.Show("alfa: " + fitResult.Parameter(0).Value.ToString());
//MessageBox.Show("beta: "+fitResult.Parameter(1).Value.ToString());
//double[] pars = fitResult.Parameters();
//foreach (var par in pars)
//{
// MessageBox.Show(par.ToString());
//}
//MessageBox.Show(fitResult.CorrelationCoefficient(0,1).ToString());
//double[] gfit = fitResult.
//MessageBox.Show(fitResult.);
//MessageBox.Show(fitResult.Parameter(2).ToString());
}
}
/// <summary>
/// Siin täidetakse juba loodud DCFData objekte täiendavate andmetega ajalooliste andmete puhul ja kõigi andmetega
/// tuleviku prognoosi objektide puhul.
/// </summary>
/// <param name="dcfDatas">DCFData list</param>
/// <param name="dcfInput">Arvutuste tegemiseks sisendi objekt</param>
public static void CalculateQuaterlyForecasts(List<DcfData> dcfDatas, DcfInput dcfInput)
{
for (int i = 0; i < dcfDatas.Count; i++)
{
// hakata välja arvutama DcfData välju, mis varem täidetud ei ole
// olenevalt sellest, kas IsPrognosis on true või false, tuleb erinevalt arvutada
// kui IsPrognosis=true, siis tuleb kasutada eelduste klassis DcfInput olevat infot, juba toimunud kvartalite puhul tavaliselt mitte
// tulevikuprognoosi spetsiifiline arvutus:
if (dcfDatas[i].IsPrognosis)
{
dcfDatas[i].Revenue = dcfDatas[i - 4].Revenue * (1 + dcfInput.GrowthRatePrognosis);
if (dcfInput.TotalAssetsAlpha != 0 && dcfInput.TotalAssetsBeta != 0 && dcfInput.ForecastMethod == DcfInput.ForecastingMethod.LinearRegression)
{
dcfDatas[i].TotalCurrentAssets = dcfInput.TotalAssetsAlpha +
dcfInput.TotalAssetsBeta * dcfDatas[i].Revenue;
}
else
{
dcfDatas[i].TotalAssets = dcfDatas[i - 1].Revenue * dcfInput.TotalAssetsPrcRevenue;
}
if (dcfInput.TotalCurrentAssetsAlpha != 0 && dcfInput.TotalCurrentAssetsBeta != 0 && dcfInput.ForecastMethod == DcfInput.ForecastingMethod.LinearRegression)
{
dcfDatas[i].TotalCurrentAssets = dcfInput.TotalCurrentAssetsAlpha +
dcfInput.TotalCurrentAssetsBeta * dcfDatas[i].Revenue;
}
else
{
dcfDatas[i].TotalCurrentAssets = dcfDatas[i - 1].Revenue * dcfInput.TotalCurrentAssetsPrcRevenue;
}
if (dcfInput.TotalLiabilitiesAlpha != 0 && dcfInput.TotalLiabilitiesBeta != 0 && dcfInput.ForecastMethod==DcfInput.ForecastingMethod.LinearRegression)
{
dcfDatas[i].TotalCurrentAssets = dcfInput.TotalLiabilitiesAlpha +
dcfInput.TotalLiabilitiesBeta * dcfDatas[i].Revenue;
}
else
{
dcfDatas[i].TotalLiabilities = dcfDatas[i - 1].Revenue * dcfInput.TotalLiabilitiesPrcRevenue;
}
if (dcfInput.TotalCurrentLiabilitiesAlpha != 0 && dcfInput.TotalCurrentLiabilitiesBeta != 0 && dcfInput.ForecastMethod == DcfInput.ForecastingMethod.LinearRegression)
{
dcfDatas[i].TotalCurrentAssets = dcfInput.TotalCurrentLiabilitiesAlpha +
dcfInput.TotalCurrentLiabilitiesBeta * dcfDatas[i].Revenue;
}
else
{
dcfDatas[i].TotalCurrentLiabilities = dcfDatas[i - 1].Revenue *
dcfInput.TotalCurrentLiabilitiesPrcRevenue;
}
dcfDatas[i].AllCosts = dcfDatas[i - 1].Revenue * dcfInput.AllCostsPrcRevenue;
dcfDatas[i].Depreciation = dcfDatas[i - 1].Revenue * dcfInput.DepreciationPrcRevenue;
dcfDatas[i].Ebit = dcfDatas[i - 1].Revenue * dcfInput.EbitPrcRevenue;
dcfDatas[i].Ebitda = dcfDatas[i - 1].Revenue * dcfInput.EbitdaPrcRevenue;
}
// koigil samasugune arvutus
dcfDatas[i].NetWorkingCapital = dcfDatas[i].TotalCurrentAssets - dcfDatas[i].TotalCurrentLiabilities;
dcfDatas[i].Ebiat = dcfDatas[i].Ebit * (1 - dcfInput.TaxRate); // ebit*(1-tax rate)
dcfDatas[i].TaxRate = dcfInput.TaxRate;
dcfDatas[i].AllCostsEbitda = dcfDatas[i].AllCosts - dcfDatas[i].Ebitda;
if (i > 0)
{
dcfDatas[i].NetWorkingCapitalChange = dcfDatas[i].NetWorkingCapital - dcfDatas[i - 1].NetWorkingCapital;
dcfDatas[i].TotalAssetsChange = dcfDatas[i].TotalAssets - dcfDatas[i - 1].TotalAssets;
dcfDatas[i].TotalLiabilitiesChange = dcfDatas[i].TotalLiabilities - dcfDatas[i - 1].TotalLiabilities;
dcfDatas[i].Capex = dcfDatas[i].TotalAssetsChange - dcfDatas[i].TotalLiabilitiesChange; // arvutatakse assets ja liabilities muutude vahena
dcfDatas[i].Capexdepreciation = dcfDatas[i].TotalAssetsChange - dcfDatas[i].TotalLiabilitiesChange - dcfDatas[i].Depreciation;
dcfDatas[i].Fcff = dcfDatas[i].Ebiat - dcfDatas[i].Capexdepreciation - dcfDatas[i].NetWorkingCapitalChange;
if (i >= 4)
{
try
{
dcfDatas[i].RevenueGrowth = dcfDatas[i].Revenue / dcfDatas[i - 4].Revenue - 1;
}
catch (InvalidOperationException) { }
}
}
}
}
public DcfVM(DcfInput dcfInput)
{
_dcfInput = dcfInput;
_dcfInput.PropertyChanged += MyEventHandler;
}
