//-------------------------------------------------------------------------
public virtual void test_requirements()
{
CalculationFunctions functions = CalculationFunctions.of(ImmutableMap.of(typeof(TestTarget), new TestFunction()));
CalculationRules calculationRules = CalculationRules.of(functions, USD);
IList <TestTarget> targets = ImmutableList.of(TARGET1);
IList <Column> columns = ImmutableList.of(Column.of(TestingMeasures.PRESENT_VALUE));
CalculationTasks test = CalculationTasks.of(calculationRules, targets, columns);
MarketDataRequirements requirements = test.requirements(REF_DATA);
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: java.util.Set<? extends com.opengamma.strata.data.MarketDataId<?>> nonObservables = requirements.getNonObservables();
ISet <MarketDataId <object> > nonObservables = requirements.NonObservables;
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: com.google.common.collect.ImmutableSet<? extends com.opengamma.strata.data.ObservableId> observables = requirements.getObservables();
ImmutableSet <ObservableId> observables = requirements.Observables;
ImmutableSet <ObservableId> timeSeries = requirements.TimeSeries;
assertThat(nonObservables).hasSize(1);
assertThat(nonObservables.GetEnumerator().next()).isEqualTo(TestId.of("1"));
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: com.opengamma.strata.data.MarketDataId<?> observableId = com.opengamma.strata.calc.marketdata.TestObservableId.of("2", CalculationTaskTest.OBS_SOURCE);
MarketDataId <object> observableId = TestObservableId.of("2", CalculationTaskTest.OBS_SOURCE);
assertThat(observables).hasSize(1);
assertThat(observables.GetEnumerator().next()).isEqualTo(observableId);
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: com.opengamma.strata.data.MarketDataId<?> timeSeriesId = com.opengamma.strata.calc.marketdata.TestObservableId.of("3", CalculationTaskTest.OBS_SOURCE);
MarketDataId <object> timeSeriesId = TestObservableId.of("3", CalculationTaskTest.OBS_SOURCE);
assertThat(timeSeries).hasSize(1);
assertThat(timeSeries.GetEnumerator().next()).isEqualTo(timeSeriesId);
}
// obtains the data and calculates the grid of results
private static void calculate(CalculationRunner runner)
{
// the trades that will have measures calculated
IList <Trade> trades = createSwapTrades();
// the columns, specifying the measures to be calculated
IList <Column> columns = ImmutableList.of(Column.of(Measures.LEG_INITIAL_NOTIONAL), Column.of(Measures.PRESENT_VALUE), Column.of(Measures.LEG_PRESENT_VALUE), Column.of(Measures.PV01_CALIBRATED_SUM), Column.of(Measures.PAR_RATE), Column.of(Measures.ACCRUED_INTEREST), Column.of(Measures.PV01_CALIBRATED_BUCKETED), Column.of(AdvancedMeasures.PV01_SEMI_PARALLEL_GAMMA_BUCKETED));
// use the built-in example market data
LocalDate valuationDate = LocalDate.of(2014, 1, 22);
ExampleMarketDataBuilder marketDataBuilder = ExampleMarketData.builder();
MarketData marketData = marketDataBuilder.buildSnapshot(valuationDate);
// the complete set of rules for calculating measures
CalculationFunctions functions = StandardComponents.calculationFunctions();
CalculationRules rules = CalculationRules.of(functions, marketDataBuilder.ratesLookup(valuationDate));
// the reference data, such as holidays and securities
ReferenceData refData = ReferenceData.standard();
// calculate the results
Results results = runner.calculate(rules, trades, columns, marketData, refData);
// use the report runner to transform the engine results into a trade report
ReportCalculationResults calculationResults = ReportCalculationResults.of(valuationDate, trades, columns, results, functions, refData);
TradeReportTemplate reportTemplate = ExampleData.loadTradeReportTemplate("swap-report-template");
TradeReport tradeReport = TradeReport.of(calculationResults, reportTemplate);
tradeReport.writeAsciiTable(System.out);
}
//-------------------------------------------------------------------------
public virtual void test_of()
{
CalculationFunctions functions = CalculationFunctions.of(ImmutableMap.of(typeof(TestTarget), new TestFunction()));
IList <TestTarget> targets = ImmutableList.of(TARGET1, TARGET2);
IList <Column> columns = ImmutableList.of(Column.of(TestingMeasures.PRESENT_VALUE), Column.of(TestingMeasures.PAR_RATE));
CalculationRules calculationRules = CalculationRules.of(functions, USD);
CalculationTasks test = CalculationTasks.of(calculationRules, targets, columns);
assertThat(test.Targets).hasSize(2);
assertThat(test.Targets).containsExactly(TARGET1, TARGET2);
assertThat(test.Columns).hasSize(2);
assertThat(test.Columns).containsExactly(Column.of(TestingMeasures.PRESENT_VALUE), Column.of(TestingMeasures.PAR_RATE));
assertThat(test.Tasks).hasSize(2);
assertThat(test.Tasks[0].Target).isEqualTo(TARGET1);
assertThat(test.Tasks[0].Cells.size()).isEqualTo(2);
assertThat(test.Tasks[0].Cells.get(0).RowIndex).isEqualTo(0);
assertThat(test.Tasks[0].Cells.get(0).ColumnIndex).isEqualTo(0);
assertThat(test.Tasks[0].Cells.get(0).Measure).isEqualTo(TestingMeasures.PRESENT_VALUE);
assertThat(test.Tasks[0].Cells.get(1).RowIndex).isEqualTo(0);
assertThat(test.Tasks[0].Cells.get(1).ColumnIndex).isEqualTo(1);
assertThat(test.Tasks[0].Cells.get(1).Measure).isEqualTo(TestingMeasures.PAR_RATE);
assertThat(test.Tasks[1].Target).isEqualTo(TARGET2);
assertThat(test.Tasks[1].Cells.size()).isEqualTo(2);
assertThat(test.Tasks[1].Cells.get(0).RowIndex).isEqualTo(1);
assertThat(test.Tasks[1].Cells.get(0).ColumnIndex).isEqualTo(0);
assertThat(test.Tasks[1].Cells.get(0).Measure).isEqualTo(TestingMeasures.PRESENT_VALUE);
assertThat(test.Tasks[1].Cells.get(1).RowIndex).isEqualTo(1);
assertThat(test.Tasks[1].Cells.get(1).ColumnIndex).isEqualTo(1);
assertThat(test.Tasks[1].Cells.get(1).Measure).isEqualTo(TestingMeasures.PAR_RATE);
coverImmutableBean(test);
assertNotNull(CalculationTasks.meta());
}
// obtains the data and calculates the grid of results
private static void calculate(CalculationRunner runner)
{
// the trades that will have measures calculated
IList <Trade> trades = ImmutableList.of(createFutureTrade1(), createFutureTrade2(), createOptionTrade1(), createOptionTrade2());
// the columns, specifying the measures to be calculated
IList <Column> columns = ImmutableList.of(Column.of(Measures.PRESENT_VALUE));
// use the built-in example market data
LocalDate valuationDate = LocalDate.of(2014, 1, 22);
ExampleMarketDataBuilder marketDataBuilder = ExampleMarketData.builder();
MarketData marketData = marketDataBuilder.buildSnapshot(valuationDate);
// the complete set of rules for calculating measures
CalculationFunctions functions = StandardComponents.calculationFunctions();
CalculationRules rules = CalculationRules.of(functions);
// the reference data, such as holidays and securities
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: com.opengamma.strata.basics.ReferenceData refData = com.opengamma.strata.basics.ImmutableReferenceData.of(com.google.common.collect.ImmutableMap.of<com.opengamma.strata.basics.ReferenceDataId<?>, Object>(FGBL_MAR14_ID, FGBL_MAR14, OGBL_MAR14_C150_ID, OGBL_MAR14_C150, ED_MAR14_ID, ED_MAR14));
ReferenceData refData = ImmutableReferenceData.of(ImmutableMap.of <ReferenceDataId <object>, object>(FGBL_MAR14_ID, FGBL_MAR14, OGBL_MAR14_C150_ID, OGBL_MAR14_C150, ED_MAR14_ID, ED_MAR14));
// calculate the results
Results results = runner.calculate(rules, trades, columns, marketData, refData);
// use the report runner to transform the engine results into a trade report
ReportCalculationResults calculationResults = ReportCalculationResults.of(valuationDate, trades, columns, results, functions, refData);
TradeReportTemplate reportTemplate = ExampleData.loadTradeReportTemplate("security-report-template");
TradeReport tradeReport = TradeReport.of(calculationResults, reportTemplate);
tradeReport.writeAsciiTable(System.out);
}
/// <summary>
/// Tests the full set of results against a golden copy.
/// </summary>
public virtual void testResults()
{
IList <Trade> trades = ImmutableList.of(createTrade1());
IList <Column> columns = ImmutableList.of(Column.of(Measures.LEG_INITIAL_NOTIONAL), Column.of(Measures.PRESENT_VALUE), Column.of(Measures.LEG_PRESENT_VALUE), Column.of(Measures.PV01_CALIBRATED_SUM), Column.of(Measures.ACCRUED_INTEREST));
ExampleMarketDataBuilder marketDataBuilder = ExampleMarketData.builder();
LocalDate valuationDate = LocalDate.of(2009, 7, 31);
CalculationRules rules = CalculationRules.of(StandardComponents.calculationFunctions(), Currency.USD, marketDataBuilder.ratesLookup(valuationDate));
MarketData marketData = marketDataBuilder.buildSnapshot(valuationDate);
// using the direct executor means there is no need to close/shutdown the runner
CalculationTasks tasks = CalculationTasks.of(rules, trades, columns, REF_DATA);
MarketDataRequirements reqs = tasks.requirements(REF_DATA);
MarketData calibratedMarketData = marketDataFactory().create(reqs, MarketDataConfig.empty(), marketData, REF_DATA);
CalculationTaskRunner runner = CalculationTaskRunner.of(MoreExecutors.newDirectExecutorService());
Results results = runner.calculate(tasks, calibratedMarketData, REF_DATA);
ReportCalculationResults calculationResults = ReportCalculationResults.of(valuationDate, trades, columns, results);
TradeReportTemplate reportTemplate = ExampleData.loadTradeReportTemplate("swap-report-regression-test-template");
TradeReport tradeReport = TradeReport.of(calculationResults, reportTemplate);
string expectedResults = ExampleData.loadExpectedResults("swap-report");
TradeReportRegressionTestUtils.assertAsciiTableEquals(tradeReport.toAsciiTableString(), expectedResults);
}
/// <summary>
/// Obtains an instance from a set of targets, columns and rules, resolving the targets.
/// <para>
/// The targets will typically be trades and positions.
/// The columns represent the measures to calculate.
/// </para>
/// <para>
/// The targets will be resolved if they implement <seealso cref="ResolvableCalculationTarget"/>.
///
/// </para>
/// </summary>
/// <param name="rules"> the rules defining how the calculation is performed </param>
/// <param name="targets"> the targets for which values of the measures will be calculated </param>
/// <param name="columns"> the columns that will be calculated </param>
/// <param name="refData"> the reference data to use to resolve the targets </param>
/// <returns> the calculation tasks </returns>
public static CalculationTasks of <T1>(CalculationRules rules, IList <T1> targets, IList <Column> columns, ReferenceData refData) where T1 : com.opengamma.strata.basics.CalculationTarget
{
// create columns that are a combination of the column overrides and the defaults
// this is done once as it is the same for all targets
//JAVA TO C# CONVERTER TODO TASK: Most Java stream collectors are not converted by Java to C# Converter:
IList <Column> effectiveColumns = columns.Select(column => column.combineWithDefaults(rules.ReportingCurrency, rules.Parameters)).collect(toImmutableList());
// loop around the targets, then the columns, to build the tasks
ImmutableList.Builder <CalculationTask> taskBuilder = ImmutableList.builder();
for (int rowIndex = 0; rowIndex < targets.Count; rowIndex++)
{
CalculationTarget target = resolveTarget(targets[rowIndex], refData);
// find the applicable function, resolving the target if necessary
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: CalculationFunction<?> fn = target instanceof UnresolvableTarget ? UnresolvableTargetCalculationFunction.INSTANCE : rules.getFunctions().getFunction(target);
CalculationFunction <object> fn = target is UnresolvableTarget ? UnresolvableTargetCalculationFunction.INSTANCE : rules.Functions.getFunction(target);
// create the tasks
IList <CalculationTask> targetTasks = createTargetTasks(target, rowIndex, fn, effectiveColumns);
taskBuilder.addAll(targetTasks);
}
// calculation tasks holds the original user-specified columns, not the derived ones
return(new CalculationTasks(taskBuilder.build(), columns));
}
/// <summary>
/// End-to-end test for curve calibration and round-tripping that uses the <seealso cref="MarketDataFactory"/>
/// to calibrate a curve and calculate PVs for the instruments at the curve nodes.
///
/// This tests the full pipeline of market data functions:
/// - Par rates
/// - Curve group (including calibration)
/// - Individual curves
/// - Discount factors
/// </summary>
public virtual void roundTripFraAndFixedFloatSwap()
{
// Configuration and market data for the curve ---------------------------------
string fra3x6 = "fra3x6";
string fra6x9 = "fra6x9";
string swap1y = "swap1y";
string swap2y = "swap2y";
string swap3y = "swap3y";
FraCurveNode fra3x6Node = fraNode(3, fra3x6);
FraCurveNode fra6x9Node = fraNode(6, fra6x9);
FixedIborSwapCurveNode swap1yNode = fixedIborSwapNode(Tenor.TENOR_1Y, swap1y);
FixedIborSwapCurveNode swap2yNode = fixedIborSwapNode(Tenor.TENOR_2Y, swap2y);
FixedIborSwapCurveNode swap3yNode = fixedIborSwapNode(Tenor.TENOR_3Y, swap3y);
IDictionary <ObservableId, double> parRateData = ImmutableMap.builder <ObservableId, double>().put(id(fra3x6), 0.0037).put(id(fra6x9), 0.0054).put(id(swap1y), 0.005).put(id(swap2y), 0.0087).put(id(swap3y), 0.012).build();
LocalDate valuationDate = date(2011, 3, 8);
// Build the trades from the node instruments
MarketData quotes = ImmutableMarketData.of(valuationDate, parRateData);
Trade fra3x6Trade = fra3x6Node.trade(1d, quotes, REF_DATA);
Trade fra6x9Trade = fra6x9Node.trade(1d, quotes, REF_DATA);
Trade swap1yTrade = swap1yNode.trade(1d, quotes, REF_DATA);
Trade swap2yTrade = swap2yNode.trade(1d, quotes, REF_DATA);
Trade swap3yTrade = swap3yNode.trade(1d, quotes, REF_DATA);
IList <Trade> trades = ImmutableList.of(fra3x6Trade, fra6x9Trade, swap1yTrade, swap2yTrade, swap3yTrade);
IList <CurveNode> nodes = ImmutableList.of(fra3x6Node, fra6x9Node, swap1yNode, swap2yNode, swap3yNode);
CurveGroupName groupName = CurveGroupName.of("Curve Group");
CurveName curveName = CurveName.of("FRA and Fixed-Float Swap Curve");
InterpolatedNodalCurveDefinition curveDefn = InterpolatedNodalCurveDefinition.builder().name(curveName).xValueType(ValueType.YEAR_FRACTION).yValueType(ValueType.ZERO_RATE).dayCount(DayCounts.ACT_ACT_ISDA).nodes(nodes).interpolator(CurveInterpolators.DOUBLE_QUADRATIC).extrapolatorLeft(CurveExtrapolators.FLAT).extrapolatorRight(CurveExtrapolators.FLAT).build();
RatesCurveGroupDefinition groupDefn = RatesCurveGroupDefinition.builder().name(groupName).addCurve(curveDefn, Currency.USD, IborIndices.USD_LIBOR_3M).build();
MarketDataConfig marketDataConfig = MarketDataConfig.builder().add(groupName, groupDefn).build();
// Rules for market data and calculations ---------------------------------
RatesMarketDataLookup ratesLookup = RatesMarketDataLookup.of(groupDefn);
CalculationRules calculationRules = CalculationRules.of(functions(), Currency.USD, ratesLookup);
// Calculate the results and check the PVs for the node instruments are zero ----------------------
IList <Column> columns = ImmutableList.of(Column.of(Measures.PRESENT_VALUE));
MarketData knownMarketData = MarketData.of(date(2011, 3, 8), parRateData);
// using the direct executor means there is no need to close/shutdown the runner
CalculationTasks tasks = CalculationTasks.of(calculationRules, trades, columns, REF_DATA);
MarketDataRequirements reqs = tasks.requirements(REF_DATA);
MarketData enhancedMarketData = marketDataFactory().create(reqs, marketDataConfig, knownMarketData, REF_DATA);
CalculationTaskRunner runner = CalculationTaskRunner.of(MoreExecutors.newDirectExecutorService());
Results results = runner.calculate(tasks, enhancedMarketData, REF_DATA);
results.Cells.ForEach(this.checkPvIsZero);
}
//-------------------------------------------------------------------------
public virtual void testToString()
{
IList <TestTarget> targets = ImmutableList.of(TARGET1, TARGET1);
IList <Column> columns = ImmutableList.of(Column.of(TestingMeasures.PRESENT_VALUE), Column.of(TestingMeasures.PRESENT_VALUE), Column.of(TestingMeasures.PRESENT_VALUE));
CalculationRules rules = CalculationRules.of(CALC_FUNCTIONS, USD);
CalculationTasks task = CalculationTasks.of(rules, targets, columns);
assertThat(task.ToString()).isEqualTo("CalculationTasks[grid=2x3]");
}
// obtains the data and calculates the grid of results
private static void calculate(CalculationRunner runner)
{
// the trade that will have measures calculated
IList <Trade> trades = ImmutableList.of(createVanillaFixedVsLibor3mSwap());
// the columns, specifying the measures to be calculated
IList <Column> columns = ImmutableList.of(Column.of(Measures.PRESENT_VALUE), Column.of(Measures.PV01_CALIBRATED_SUM));
// use the built-in example market data
ExampleMarketDataBuilder marketDataBuilder = ExampleMarketData.builder();
// the complete set of rules for calculating measures
LocalDate valuationDate = LocalDate.of(2014, 1, 22);
CalculationFunctions functions = StandardComponents.calculationFunctions();
CalculationRules rules = CalculationRules.of(functions, Currency.USD, marketDataBuilder.ratesLookup(valuationDate));
// mappings that select which market data to apply perturbations to
// this applies the perturbations above to all curves
PerturbationMapping <Curve> mapping = PerturbationMapping.of(MarketDataFilter.ofIdType(typeof(CurveId)), CurveParallelShifts.absolute(0, ONE_BP));
// create a scenario definition containing the single mapping above
// this creates two scenarios - one for each perturbation in the mapping
ScenarioDefinition scenarioDefinition = ScenarioDefinition.ofMappings(mapping);
// build a market data snapshot for the valuation date
MarketData marketData = marketDataBuilder.buildSnapshot(valuationDate);
// the reference data, such as holidays and securities
ReferenceData refData = ReferenceData.standard();
// calculate the results
MarketDataRequirements reqs = MarketDataRequirements.of(rules, trades, columns, refData);
ScenarioMarketData scenarioMarketData = marketDataFactory().createMultiScenario(reqs, MarketDataConfig.empty(), marketData, refData, scenarioDefinition);
Results results = runner.calculateMultiScenario(rules, trades, columns, scenarioMarketData, refData);
// TODO Replace the results processing below with a report once the reporting framework supports scenarios
// The results are lists of currency amounts containing one value for each scenario
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: com.opengamma.strata.data.scenario.ScenarioArray<?> pvList = (com.opengamma.strata.data.scenario.ScenarioArray<?>) results.get(0, 0).getValue();
ScenarioArray <object> pvList = (ScenarioArray <object>)results.get(0, 0).Value;
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: com.opengamma.strata.data.scenario.ScenarioArray<?> pv01List = (com.opengamma.strata.data.scenario.ScenarioArray<?>) results.get(0, 1).getValue();
ScenarioArray <object> pv01List = (ScenarioArray <object>)results.get(0, 1).Value;
double pvBase = ((CurrencyAmount)pvList.get(0)).Amount;
double pvShifted = ((CurrencyAmount)pvList.get(1)).Amount;
double pv01Base = ((CurrencyAmount)pv01List.get(0)).Amount;
NumberFormat numberFormat = new DecimalFormat("###,##0.00", new DecimalFormatSymbols(Locale.ENGLISH));
Console.WriteLine(" PV (base) = " + numberFormat.format(pvBase));
Console.WriteLine(" PV (1 bp curve shift) = " + numberFormat.format(pvShifted));
Console.WriteLine("PV01 (algorithmic differentiation) = " + numberFormat.format(pv01Base));
Console.WriteLine(" PV01 (finite difference) = " + numberFormat.format(pvShifted - pvBase));
}
// obtains the data and calculates the grid of results
private static void calculate(CalculationRunner runner)
{
// the trades that will have measures calculated
IList <Trade> trades = createSwapTrades();
// the columns, specifying the measures to be calculated
IList <Column> columns = ImmutableList.of(Column.of(Measures.PRESENT_VALUE), Column.of(Measures.PAR_RATE), Column.of(Measures.PV01_MARKET_QUOTE_BUCKETED), Column.of(Measures.PV01_CALIBRATED_BUCKETED));
// load quotes
ImmutableMap <QuoteId, double> quotesCcp1 = QuotesCsvLoader.load(VAL_DATE, QUOTES_RESOURCE_CCP1);
ImmutableMap <QuoteId, double> quotesCcp2 = QuotesCsvLoader.load(VAL_DATE, QUOTES_RESOURCE_CCP2);
// load fixings
ImmutableMap <ObservableId, LocalDateDoubleTimeSeries> fixings = FixingSeriesCsvLoader.load(FIXINGS_RESOURCE);
// create the market data
MarketData marketData = ImmutableMarketData.builder(VAL_DATE).addValueMap(quotesCcp1).addValueMap(quotesCcp2).addTimeSeriesMap(fixings).build();
// the reference data, such as holidays and securities
ReferenceData refData = ReferenceData.standard();
// load the curve definition
IDictionary <CurveGroupName, RatesCurveGroupDefinition> defnsCcp1 = RatesCalibrationCsvLoader.load(GROUPS_RESOURCE_CCP1, SETTINGS_RESOURCE_CCP1, CALIBRATION_RESOURCE_CCP1);
IDictionary <CurveGroupName, RatesCurveGroupDefinition> defnsCcp2 = RatesCalibrationCsvLoader.load(GROUPS_RESOURCE_CCP2, SETTINGS_RESOURCE_CCP2, CALIBRATION_RESOURCE_CCP2);
RatesCurveGroupDefinition curveGroupDefinitionCcp1 = defnsCcp1[CURVE_GROUP_NAME_CCP1].filtered(VAL_DATE, refData);
RatesCurveGroupDefinition curveGroupDefinitionCcp2 = defnsCcp2[CURVE_GROUP_NAME_CCP2].filtered(VAL_DATE, refData);
// the configuration that defines how to create the curves when a curve group is requested
MarketDataConfig marketDataConfig = MarketDataConfig.builder().add(CURVE_GROUP_NAME_CCP1, curveGroupDefinitionCcp1).add(CURVE_GROUP_NAME_CCP2, curveGroupDefinitionCcp2).build();
// the complete set of rules for calculating measures
CalculationFunctions functions = StandardComponents.calculationFunctions();
RatesMarketDataLookup ratesLookupCcp1 = RatesMarketDataLookup.of(curveGroupDefinitionCcp1);
RatesMarketDataLookup ratesLookupCcp2 = RatesMarketDataLookup.of(curveGroupDefinitionCcp2);
// choose RatesMarketDataLookup instance based on counterparty
TradeCounterpartyCalculationParameter perCounterparty = TradeCounterpartyCalculationParameter.of(ImmutableMap.of(CCP1_ID, ratesLookupCcp1, CCP2_ID, ratesLookupCcp2), ratesLookupCcp1);
CalculationRules rules = CalculationRules.of(functions, perCounterparty);
// calibrate the curves and calculate the results
MarketDataRequirements reqs = MarketDataRequirements.of(rules, trades, columns, refData);
MarketData calibratedMarketData = marketDataFactory().create(reqs, marketDataConfig, marketData, refData);
Results results = runner.calculate(rules, trades, columns, calibratedMarketData, refData);
// use the report runner to transform the engine results into a trade report
ReportCalculationResults calculationResults = ReportCalculationResults.of(VAL_DATE, trades, columns, results, functions, refData);
TradeReportTemplate reportTemplate = ExampleData.loadTradeReportTemplate("swap-report-template2");
TradeReport tradeReport = TradeReport.of(calculationResults, reportTemplate);
tradeReport.writeAsciiTable(System.out);
}
// obtains the data and calculates the grid of results
private static void calculate(CalculationRunner runner)
{
// the trades for which to calculate a P&L series
IList <Trade> trades = ImmutableList.of(createTrade());
// the columns, specifying the measures to be calculated
IList <Column> columns = ImmutableList.of(Column.of(Measures.PRESENT_VALUE));
// use the built-in example historical scenario market data
ExampleMarketDataBuilder marketDataBuilder = ExampleMarketDataBuilder.ofResource(MARKET_DATA_RESOURCE_ROOT);
// the complete set of rules for calculating measures
CalculationFunctions functions = StandardComponents.calculationFunctions();
CalculationRules rules = CalculationRules.of(functions, marketDataBuilder.ratesLookup(LocalDate.of(2015, 4, 23)));
// load the historical calibrated curves from which we will build our scenarios
// these curves are provided in the example data environment
SortedDictionary <LocalDate, RatesCurveGroup> historicalCurves = marketDataBuilder.loadAllRatesCurves();
// sorted list of dates for the available series of curves
// the entries in the P&L vector we produce will correspond to these dates
IList <LocalDate> scenarioDates = new List <LocalDate>(historicalCurves.Keys);
// build the historical scenarios
ScenarioDefinition historicalScenarios = buildHistoricalScenarios(historicalCurves, scenarioDates);
// build a market data snapshot for the valuation date
// this is the base snapshot which will be perturbed by the scenarios
LocalDate valuationDate = LocalDate.of(2015, 4, 23);
MarketData marketData = marketDataBuilder.buildSnapshot(valuationDate);
// the reference data, such as holidays and securities
ReferenceData refData = ReferenceData.standard();
// calculate the results
MarketDataRequirements reqs = MarketDataRequirements.of(rules, trades, columns, refData);
ScenarioMarketData scenarioMarketData = marketDataFactory().createMultiScenario(reqs, MarketDataConfig.empty(), marketData, refData, historicalScenarios);
Results results = runner.calculateMultiScenario(rules, trades, columns, scenarioMarketData, refData);
// the results contain the one measure requested (Present Value) for each scenario
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: com.opengamma.strata.data.scenario.ScenarioArray<?> scenarioValuations = (com.opengamma.strata.data.scenario.ScenarioArray<?>) results.get(0, 0).getValue();
ScenarioArray <object> scenarioValuations = (ScenarioArray <object>)results.get(0, 0).Value;
outputPnl(scenarioDates, scenarioValuations);
}
internal decimal CalculatePrice(CalculationRules calculationRules)
{
decimal rate = 0;
switch (calculationRules)
{
case CalculationRules.None:
return BasePrice;
case CalculationRules.Discounted:
rate = DiscountedRate;
break;
case CalculationRules.Standard:
rate = StandardRate;
break;
}
return BasePrice + (BasePrice * rate / 100);
}
// obtains the data and calculates the grid of results
private static void calculate(CalculationRunner runner)
{
// the trades that will have measures calculated
IList <Trade> trades = createSwapTrades();
// the columns, specifying the measures to be calculated
IList <Column> columns = ImmutableList.of(Column.of(Measures.LEG_INITIAL_NOTIONAL), Column.of(Measures.PRESENT_VALUE), Column.of(Measures.LEG_PRESENT_VALUE), Column.of(Measures.PV01_CALIBRATED_SUM), Column.of(Measures.PAR_RATE), Column.of(Measures.ACCRUED_INTEREST), Column.of(Measures.PV01_CALIBRATED_BUCKETED), Column.of(AdvancedMeasures.PV01_SEMI_PARALLEL_GAMMA_BUCKETED));
// load quotes
ImmutableMap <QuoteId, double> quotes = QuotesCsvLoader.load(VAL_DATE, QUOTES_RESOURCE);
// load fixings
ImmutableMap <ObservableId, LocalDateDoubleTimeSeries> fixings = FixingSeriesCsvLoader.load(FIXINGS_RESOURCE);
// create the market data
MarketData marketData = MarketData.of(VAL_DATE, quotes, fixings);
// the reference data, such as holidays and securities
ReferenceData refData = ReferenceData.standard();
// load the curve definition
IDictionary <CurveGroupName, RatesCurveGroupDefinition> defns = RatesCalibrationCsvLoader.load(GROUPS_RESOURCE, SETTINGS_RESOURCE, CALIBRATION_RESOURCE);
RatesCurveGroupDefinition curveGroupDefinition = defns[CURVE_GROUP_NAME].filtered(VAL_DATE, refData);
// the configuration that defines how to create the curves when a curve group is requested
MarketDataConfig marketDataConfig = MarketDataConfig.builder().add(CURVE_GROUP_NAME, curveGroupDefinition).build();
// the complete set of rules for calculating measures
CalculationFunctions functions = StandardComponents.calculationFunctions();
RatesMarketDataLookup ratesLookup = RatesMarketDataLookup.of(curveGroupDefinition);
CalculationRules rules = CalculationRules.of(functions, ratesLookup);
// calibrate the curves and calculate the results
MarketDataRequirements reqs = MarketDataRequirements.of(rules, trades, columns, refData);
MarketData calibratedMarketData = marketDataFactory().create(reqs, marketDataConfig, marketData, refData);
Results results = runner.calculate(rules, trades, columns, calibratedMarketData, refData);
// use the report runner to transform the engine results into a trade report
ReportCalculationResults calculationResults = ReportCalculationResults.of(VAL_DATE, trades, columns, results, functions, refData);
TradeReportTemplate reportTemplate = ExampleData.loadTradeReportTemplate("swap-report-template");
TradeReport tradeReport = TradeReport.of(calculationResults, reportTemplate);
tradeReport.writeAsciiTable(System.out);
}
private ReportCalculationResults runCalculationRequirements(ReportRequirements requirements)
{
IList <Column> columns = requirements.TradeMeasureRequirements;
ExampleMarketDataBuilder marketDataBuilder = marketDataRoot == null?ExampleMarketData.builder() : ExampleMarketDataBuilder.ofPath(marketDataRoot.toPath());
CalculationFunctions functions = StandardComponents.calculationFunctions();
RatesMarketDataLookup ratesLookup = marketDataBuilder.ratesLookup(valuationDate);
CalculationRules rules = CalculationRules.of(functions, ratesLookup);
MarketData marketData = marketDataBuilder.buildSnapshot(valuationDate);
IList <Trade> trades;
if (Strings.nullToEmpty(idSearch).Trim().Empty)
{
trades = tradeList.Trades;
}
else
{
//JAVA TO C# CONVERTER TODO TASK: Most Java stream collectors are not converted by Java to C# Converter:
trades = tradeList.Trades.Where(t => t.Info.Id.Present).Where(t => t.Info.Id.get().Value.Equals(idSearch)).collect(toImmutableList());
if (trades.Count > 1)
{
throw new System.ArgumentException(Messages.format("More than one trade found matching ID: '{}'", idSearch));
}
}
if (trades.Count == 0)
{
throw new System.ArgumentException("No trades found. Please check the input portfolio or trade ID filter.");
}
// the reference data, such as holidays and securities
ReferenceData refData = ReferenceData.standard();
// calculate the results
CalculationTasks tasks = CalculationTasks.of(rules, trades, columns, refData);
MarketDataRequirements reqs = tasks.requirements(refData);
MarketData calibratedMarketData = marketDataFactory().create(reqs, MarketDataConfig.empty(), marketData, refData);
Results results = runner.TaskRunner.calculate(tasks, calibratedMarketData, refData);
return(ReportCalculationResults.of(valuationDate, trades, requirements.TradeMeasureRequirements, results, functions, refData));
}
//-------------------------------------------------------------------------
public virtual void presentValueVanillaFixedVsLibor1mSwap()
{
SwapLeg payLeg = fixedLeg(LocalDate.of(2014, 9, 12), LocalDate.of(2016, 9, 12), Frequency.P6M, PayReceive.PAY, NOTIONAL, 0.0125, null);
SwapLeg receiveLeg = RateCalculationSwapLeg.builder().payReceive(RECEIVE).accrualSchedule(PeriodicSchedule.builder().startDate(LocalDate.of(2014, 9, 12)).endDate(LocalDate.of(2016, 9, 12)).frequency(Frequency.P1M).businessDayAdjustment(BDA_MF).build()).paymentSchedule(PaymentSchedule.builder().paymentFrequency(Frequency.P1M).paymentDateOffset(DaysAdjustment.NONE).build()).notionalSchedule(NOTIONAL).calculation(IborRateCalculation.builder().index(USD_LIBOR_1M).fixingDateOffset(DaysAdjustment.ofBusinessDays(-2, CalendarUSD.NYC, BDA_P)).build()).build();
SwapTrade trade = SwapTrade.builder().info(TradeInfo.builder().tradeDate(LocalDate.of(2014, 9, 10)).build()).product(Swap.of(payLeg, receiveLeg)).build();
CurveGroupName groupName = CurveGroupName.of("Test");
CurveId idUsdDsc = CurveId.of(groupName, StandardDataSets.GROUP1_USD_DSC.Name);
CurveId idUsdOn = CurveId.of(groupName, StandardDataSets.GROUP1_USD_ON.Name);
CurveId idUsdL1M = CurveId.of(groupName, StandardDataSets.GROUP1_USD_L1M.Name);
CurveId idUsdL3M = CurveId.of(groupName, StandardDataSets.GROUP1_USD_L3M.Name);
CurveId idUsdL6M = CurveId.of(groupName, StandardDataSets.GROUP1_USD_L6M.Name);
MarketData suppliedData = ImmutableMarketData.builder(VAL_DATE).addValue(idUsdDsc, StandardDataSets.GROUP1_USD_DSC).addValue(idUsdOn, StandardDataSets.GROUP1_USD_ON).addValue(idUsdL1M, StandardDataSets.GROUP1_USD_L1M).addValue(idUsdL3M, StandardDataSets.GROUP1_USD_L3M).addValue(idUsdL6M, StandardDataSets.GROUP1_USD_L6M).build();
CalculationFunctions functions = StandardComponents.calculationFunctions();
RatesMarketDataLookup ratesLookup = RatesMarketDataLookup.of(ImmutableMap.of(USD, idUsdDsc), ImmutableMap.of(USD_FED_FUND, idUsdOn, USD_LIBOR_1M, idUsdL1M, USD_LIBOR_3M, idUsdL3M, USD_LIBOR_6M, idUsdL6M));
// create the calculation runner
IList <SwapTrade> trades = ImmutableList.of(trade);
IList <Column> columns = ImmutableList.of(Column.of(Measures.PRESENT_VALUE));
CalculationRules rules = CalculationRules.of(functions, USD, ratesLookup);
// calculate results using the runner
// using the direct executor means there is no need to close/shutdown the runner
CalculationRunner runner = CalculationRunner.of(MoreExecutors.newDirectExecutorService());
Results results = runner.calculate(rules, trades, columns, suppliedData, REF_DATA);
//JAVA TO C# CONVERTER WARNING: Java wildcard generics have no direct equivalent in .NET:
//ORIGINAL LINE: com.opengamma.strata.collect.result.Result<?> result = results.get(0, 0);
Result <object> result = results.get(0, 0);
assertThat(result).Success;
CurrencyAmount pv = (CurrencyAmount)result.Value;
assertThat(pv.Amount).isCloseTo(-1003684.8402, offset(TOLERANCE_PV));
}
// calculates the PV results for the instruments used in calibration from the config
private static Pair <IList <Trade>, Results> calculate(CalculationRunner runner)
{
// the reference data, such as holidays and securities
ReferenceData refData = ReferenceData.standard();
// load quotes
ImmutableMap <QuoteId, double> quotes = QuotesCsvLoader.load(VAL_DATE, QUOTES_RESOURCE);
// load time series
IDictionary <ObservableId, LocalDateDoubleTimeSeries> fixings = FixingSeriesCsvLoader.load(FIXING_RESOURCE);
// create the market data
MarketData marketData = ImmutableMarketData.builder(VAL_DATE).addValueMap(quotes).addTimeSeriesMap(fixings).build();
// load the curve definition
IDictionary <CurveGroupName, RatesCurveGroupDefinition> defns = RatesCalibrationCsvLoader.load(GROUPS_RESOURCE, SETTINGS_RESOURCE, CALIBRATION_RESOURCE);
RatesCurveGroupDefinition curveGroupDefinition = defns[CURVE_GROUP_NAME].filtered(VAL_DATE, refData);
// extract the trades used for calibration
IList <Trade> trades = curveGroupDefinition.CurveDefinitions.stream().flatMap(defn => defn.Nodes.stream()).filter(node => !(node is IborFixingDepositCurveNode)).map(node => node.trade(1d, marketData, refData)).collect(toImmutableList());
// the columns, specifying the measures to be calculated
IList <Column> columns = ImmutableList.of(Column.of(Measures.PRESENT_VALUE));
// the configuration that defines how to create the curves when a curve group is requested
MarketDataConfig marketDataConfig = MarketDataConfig.builder().add(CURVE_GROUP_NAME, curveGroupDefinition).build();
// the complete set of rules for calculating measures
CalculationFunctions functions = StandardComponents.calculationFunctions();
RatesMarketDataLookup ratesLookup = RatesMarketDataLookup.of(curveGroupDefinition);
CalculationRules rules = CalculationRules.of(functions, ratesLookup);
// calibrate the curves and calculate the results
MarketDataRequirements reqs = MarketDataRequirements.of(rules, trades, columns, refData);
MarketData calibratedMarketData = marketDataFactory().create(reqs, marketDataConfig, marketData, refData);
Results results = runner.calculate(rules, trades, columns, calibratedMarketData, refData);
return(Pair.of(trades, results));
}
//-------------------------------------------------------------------------
/// <summary>
/// Obtains an instance from a set of targets, columns and rules.
/// <para>
/// The targets will typically be trades.
/// The columns represent the measures to calculate.
/// </para>
/// <para>
/// Any target that implements <seealso cref="ResolvableCalculationTarget"/> will result in a failed task.
///
/// </para>
/// </summary>
/// <param name="rules"> the rules defining how the calculation is performed </param>
/// <param name="targets"> the targets for which values of the measures will be calculated </param>
/// <param name="columns"> the columns that will be calculated </param>
/// <returns> the calculation tasks </returns>
public static CalculationTasks of <T1>(CalculationRules rules, IList <T1> targets, IList <Column> columns) where T1 : com.opengamma.strata.basics.CalculationTarget
{
return(of(rules, targets, columns, ReferenceData.empty()));
}
//-------------------------------------------------------------------------
/// <summary>
/// Obtains an instance from a set of targets, columns and rules.
/// <para>
/// The targets will typically be trades.
/// The columns represent the measures to calculate.
///
/// </para>
/// </summary>
/// <param name="calculationRules"> the rules defining how the calculation is performed </param>
/// <param name="targets"> the targets for which values of the measures will be calculated </param>
/// <param name="columns"> the columns that will be calculated </param>
/// <param name="refData"> the reference data </param>
/// <returns> the market data requirements </returns>
public static MarketDataRequirements of <T1>(CalculationRules calculationRules, IList <T1> targets, IList <Column> columns, ReferenceData refData) where T1 : com.opengamma.strata.basics.CalculationTarget
{
return(CalculationTasks.of(calculationRules, targets, columns, refData).requirements(refData));
}
