Beispiel #1
0
 //-------------------------------------------------------------------------
 // setup calculation runner component, which needs life-cycle management
 // a typical application might use dependency injection to obtain the instance
 private static Pair <IList <Trade>, Results> calculate()
 {
     using (CalculationRunner runner = CalculationRunner.ofMultiThreaded())
     {
         return(calculate(runner));
     }
 }
        // 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);
        }
Beispiel #3
0
        // 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);
        }
 //-------------------------------------------------------------------------
 public virtual void test_of()
 {
     using (CalculationRunner test = CalculationRunner.ofMultiThreaded())
     {
         assertThat(test.TaskRunner).NotNull;
     }
 }
 /// <summary>
 /// Runs the example, pricing the instruments, producing the output as an ASCII table.
 /// </summary>
 /// <param name="args">  ignored </param>
 public static void Main(string[] args)
 {
     // setup calculation runner component, which needs life-cycle management
     // a typical application might use dependency injection to obtain the instance
     using (CalculationRunner runner = CalculationRunner.ofMultiThreaded())
     {
         calculate(runner);
     }
 }
        // 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);
        }
Beispiel #8
0
        // 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);
        }
        //-------------------------------------------------------------------------
        public virtual void calculate()
        {
            ImmutableList <CalculationTarget> targets = ImmutableList.of(TARGET);
            Column column1 = Column.of(TestingMeasures.PRESENT_VALUE);
            Column column2 = Column.of(TestingMeasures.BUCKETED_PV01);
            ImmutableList <Column> columns = ImmutableList.of(column1, column2);
            CalculationRules       rules   = CalculationRules.of(CalculationFunctions.empty());
            MarketData             md      = MarketData.empty(date(2016, 6, 30));
            ScenarioMarketData     smd     = ScenarioMarketData.empty();

            // use of try-with-resources checks class is AutoCloseable
            using (CalculationRunner test = CalculationRunner.of(MoreExecutors.newDirectExecutorService()))
            {
                assertThat(test.calculate(rules, targets, columns, md, REF_DATA).get(0, 0).Failure).True;
                assertThat(test.calculateMultiScenario(rules, targets, columns, smd, REF_DATA).get(0, 0).Failure).True;
            }
        }
Beispiel #10
0
 /// <summary>
 /// Runs the tool.
 /// </summary>
 /// <param name="args">  the command-line arguments </param>
 public static void Main(string[] args)
 {
     using (ReportRunnerTool reportRunner = new ReportRunnerTool(CalculationRunner.ofMultiThreaded()))
     {
         JCommander commander = new JCommander(reportRunner);
         commander.ProgramName = typeof(ReportRunnerTool).Name;
         try
         {
             commander.parse(args);
         }
         catch (ParameterException e)
         {
             Console.Error.WriteLine("Error: " + e.Message);
             Console.Error.WriteLine();
             commander.usage();
             return;
         }
         if (reportRunner.help)
         {
             commander.usage();
         }
         else if (reportRunner.version)
         {
             string versionName = typeof(ReportRunnerTool).Assembly.ImplementationVersion;
             if (string.ReferenceEquals(versionName, null))
             {
                 versionName = "unknown";
             }
             Console.WriteLine("Strata Report Runner Tool, version " + versionName);
         }
         else
         {
             try
             {
                 reportRunner.run();
             }
             catch (Exception e)
             {
                 Console.Error.WriteLine(Messages.format("Error: {}\n", e.Message));
                 commander.usage();
             }
         }
     }
 }
        // 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);
        }
Beispiel #12
0
        //-------------------------------------------------------------------------
        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));
        }
Beispiel #13
0
        // 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));
        }
Beispiel #14
0
 //-------------------------------------------------------------------------
 // creates an instance
 private ReportRunnerTool(CalculationRunner runner)
 {
     this.runner = ArgChecker.notNull(runner, "runner");
 }