def test_pricing_location_normalized():
assert _pricing_location_normalized(
PricingLocation.LDN, CurrencyEnum.USD) == PricingLocation.LDN
assert _pricing_location_normalized(
PricingLocation.TKO, CurrencyEnum.USD) == PricingLocation.TKO
assert _pricing_location_normalized(
PricingLocation.LDN, CurrencyEnum.HKD) == PricingLocation.LDN
assert _pricing_location_normalized(
PricingLocation.TKO, CurrencyEnum.HKD) == PricingLocation.HKG
def _get_crosscurrency_swap_data(
asset1: Asset,
asset2: Asset,
swap_tenor: str,
rateoption_type: str = None,
forward_tenor: Optional[GENERIC_DATE] = None,
clearing_house: tm_rates._ClearingHouse = None,
source: str = None,
real_time: bool = False,
query_type: QueryType = QueryType.SWAP_RATE,
location: PricingLocation = None) -> pd.DataFrame:
if real_time:
raise NotImplementedError(
'realtime swap_rate not implemented for anything but rates')
currency1 = CurrencyEnum(
asset1.get_identifier(AssetIdentifier.BLOOMBERG_ID))
currency2 = CurrencyEnum(
asset2.get_identifier(AssetIdentifier.BLOOMBERG_ID))
if currency1.value not in CURRENCY_TO_XCCY_SWAP_RATE_BENCHMARK.keys():
raise NotImplementedError(
'Data not available for {} crosscurrency swap rates'.format(
currency1.value))
if currency2.value not in CURRENCY_TO_XCCY_SWAP_RATE_BENCHMARK.keys():
raise NotImplementedError(
'Data not available for {} crosscurrency swap rates'.format(
currency2.value))
rateoption_type1 = _check_crosscurrency_rateoption_type(
currency1, rateoption_type)
rateoption_type2 = _check_crosscurrency_rateoption_type(
currency2, rateoption_type)
if rateoption_type1 != rateoption_type2:
raise MqValueError(
'The two currencies do not both support the rate Option type ' +
rateoption_type)
rateoption_type = rateoption_type1
clearing_house = tm_rates._check_clearing_house(clearing_house)
defaults1 = _get_crosscurrency_swap_leg_defaults(currency1,
rateoption_type)
defaults2 = _get_crosscurrency_swap_leg_defaults(currency2,
rateoption_type)
if not (tm_rates._is_valid_relative_date_tenor(swap_tenor)):
raise MqValueError('invalid swap tenor ' + swap_tenor)
if defaults1["pricing_location"] == PricingLocation.NYC:
default_location = defaults2["pricing_location"]
currency = currency2
else:
default_location = defaults1["pricing_location"]
currency = currency1
if location is None:
pricing_location = PricingLocation(default_location)
else:
pricing_location = PricingLocation(location)
pricing_location = tm_rates._pricing_location_normalized(
pricing_location, currency)
where = dict(pricingLocation=pricing_location.value)
forward_tenor = tm_rates._check_forward_tenor(forward_tenor)
fixed_rate = 'ATM'
kwargs = dict(
asset_class='Rates',
type='XccySwapMTM',
asset_parameters_termination_date=swap_tenor,
asset_parameters_effective_date=forward_tenor,
asset_parameters_payer_spread=fixed_rate,
# asset_parameters_payer_currency=defaults1['currency'].value,
asset_parameters_payer_rate_option=defaults1['rateOption'],
# asset_parameters_payer_designated_maturity=defaults1['designatedMaturity'],
# asset_parameters_receiver_currency=defaults2['currency'].value,
asset_parameters_receiver_rate_option=defaults2['rateOption'],
# asset_parameters_receiver_designated_maturity=defaults2['designatedMaturity'],
asset_parameters_clearing_house=clearing_house.value,
pricing_location=pricing_location)
rate_mqid = _get_tdapi_crosscurrency_rates_assets(**kwargs)
_logger.debug(
f'where asset= {rate_mqid}, swap_tenor={swap_tenor}, forward_tenor={forward_tenor}, '
f'payer_currency={defaults1["currency"].value}, payer_rate_option={defaults1["rateOption"]}, '
f'payer_designated_maturity={defaults1["designatedMaturity"]}, '
f'receiver_currency={defaults2["currency"].value}, receiver_rate_option={defaults2["rateOption"]}, '
f'receiver_designated_maturity={defaults2["designatedMaturity"]}, '
f'clearing_house={clearing_house.value}, pricing_location={pricing_location.value}'
)
q = GsDataApi.build_market_data_query([rate_mqid],
query_type,
where=where,
source=source,
real_time=real_time)
_logger.debug('q %s', q)
df = _market_data_timed(q)
return df
def _get_inflation_swap_data(asset: Asset,
swap_tenor: str,
index_type: str = None,
forward_tenor: Optional[GENERIC_DATE] = None,
clearing_house: tm_rates._ClearingHouse = None,
source: str = None,
real_time: bool = False,
query_type: QueryType = QueryType.SWAP_RATE,
location: PricingLocation = None) -> pd.DataFrame:
if real_time:
raise NotImplementedError(
'realtime inflation swap data not implemented')
currency = CurrencyEnum(asset.get_identifier(AssetIdentifier.BLOOMBERG_ID))
if currency.value not in CURRENCY_TO_INDEX_BENCHMARK.keys():
raise NotImplementedError(
'Data not available for {} inflation swap rates'.format(
currency.value))
index_type = _check_inflation_index_type(currency, index_type)
clearing_house = tm_rates._check_clearing_house(clearing_house)
defaults = _get_inflation_swap_leg_defaults(currency, index_type)
if not (tm_rates._is_valid_relative_date_tenor(swap_tenor)):
raise MqValueError('invalid swap tenor ' + swap_tenor)
forward_tenor = tm_rates._check_forward_tenor(forward_tenor)
fixed_rate = 'ATM'
kwargs = dict(asset_class='Rates',
type='InflationSwap',
asset_parameters_termination_date=swap_tenor,
asset_parameters_index=defaults['index_type'],
asset_parameters_fixed_rate=fixed_rate,
asset_parameters_clearing_house=clearing_house.value,
asset_parameters_effective_date=forward_tenor,
asset_parameters_notional_currency=currency.name)
rate_mqid = _get_tdapi_inflation_rates_assets(**kwargs)
if location is None:
pricing_location = tm_rates._default_pricing_location(currency)
else:
pricing_location = PricingLocation(location)
pricing_location = tm_rates._pricing_location_normalized(
pricing_location, currency)
where = dict(pricingLocation=pricing_location.value)
_logger.debug(
f'where asset= {rate_mqid}, swap_tenor={swap_tenor}, index={defaults["index_type"]}, '
f'forward_tenor={forward_tenor}, pricing_location={pricing_location.value}, '
f'clearing_house={clearing_house.value}, notional_currency={currency.name}'
)
q = GsDataApi.build_market_data_query([rate_mqid],
query_type,
where=where,
source=source,
real_time=real_time)
_logger.debug('q %s', q)
df = _market_data_timed(q)
return df
