@Override
public Set<ComputedValue> execute(
final FunctionExecutionContext executionContext,
final FunctionInputs inputs,
final ComputationTarget target,
final Set<ValueRequirement> desiredValues) {
final Object positionOrNode = getTarget(target);
final ConventionBundleSource conventionSource =
OpenGammaExecutionContext.getConventionBundleSource(executionContext);
final ConventionBundle bundle =
conventionSource.getConventionBundle(
ExternalId.of(InMemoryConventionBundleMaster.SIMPLE_NAME_SCHEME, "USD_CAPM"));
final Clock snapshotClock = executionContext.getValuationClock();
final LocalDate now = snapshotClock.zonedDateTime().toLocalDate();
final ValueRequirement desiredValue = desiredValues.iterator().next();
final ValueProperties constraints = desiredValue.getConstraints();
final Period samplingPeriod =
getSamplingPeriod(constraints.getValues(ValuePropertyNames.SAMPLING_PERIOD));
final LocalDate startDate = now.minus(samplingPeriod);
final HistoricalTimeSeries riskFreeRateTSObject =
(HistoricalTimeSeries) inputs.getValue(ValueRequirementNames.HISTORICAL_TIME_SERIES);
final Object assetPnLObject =
inputs.getValue(
new ValueRequirement(
ValueRequirementNames.PNL_SERIES,
positionOrNode)); // TODO replace with return series when portfolio weights are in
if (assetPnLObject == null) {
throw new OpenGammaRuntimeException("Asset P&L was null");
}
final Object assetFairValueObject =
inputs.getValue(new ValueRequirement(ValueRequirementNames.FAIR_VALUE, positionOrNode));
if (assetFairValueObject == null) {
throw new OpenGammaRuntimeException("Asset fair value was null");
}
final Object betaObject =
inputs.getValue(new ValueRequirement(ValueRequirementNames.CAPM_BETA, positionOrNode));
if (betaObject == null) {
throw new OpenGammaRuntimeException("Beta was null");
}
final double beta = (Double) betaObject;
final double fairValue = (Double) assetFairValueObject;
DoubleTimeSeries<?> assetReturnTS = ((DoubleTimeSeries<?>) assetPnLObject).divide(fairValue);
DoubleTimeSeries<?> riskFreeReturnTS =
riskFreeRateTSObject.getTimeSeries().divide(100 * DAYS_PER_YEAR);
DoubleTimeSeries<?>[] series = TimeSeriesIntersector.intersect(riskFreeReturnTS, assetReturnTS);
riskFreeReturnTS = series[0];
assetReturnTS = series[1];
final TreynorRatioCalculator calculator =
getCalculator(constraints.getValues(ValuePropertyNames.EXCESS_RETURN_CALCULATOR));
final double ratio = calculator.evaluate(assetReturnTS, riskFreeReturnTS, beta);
final ValueProperties resultProperties = getResultProperties(desiredValues.iterator().next());
return Sets.newHashSet(
new ComputedValue(
new ValueSpecification(
new ValueRequirement(
ValueRequirementNames.TREYNOR_RATIO, positionOrNode, resultProperties),
getUniqueId()),
ratio));
}
