cyhzzz 外汇业务插件 (FX Desk)
概述
外汇业务插件是FICC业务插件层的重要组成部分，专注于外汇市场的分析、交易和风险管理，包括即期外汇、远期外汇、外汇期权、货币互换等产品。
功能模块
1. 汇率分析与预测
class FXAnalyzer:
"""外汇分析器"""
def analyze_exchange_rate(self, currency_pair, historical_data):
"""
分析汇率走势
包括：趋势分析、波动性分析、技术指标
"""
pass
def calculate_carry_trade_return(self, funding_ccy, investment_ccy, rates_data):
"""
计算套利交易收益
Carry Return = (Investment Rate - Funding Rate) + FX Return
"""
pass
def analyze_purchasing_power_parity(self, currency_pair, inflation_data):
"""
分析购买力平价
"""
pass
def calculate_real_effective_exchange_rate(self, currency, trade_weights):
"""
计算实际有效汇率(REER)
"""
pass
2. 外汇敞口管理
class FXExposureManager:
"""外汇敞口管理器"""
def calculate_position_exposure(self, positions, base_currency):
"""
计算头寸敞口
按币种、期限、类型分解敞口
"""
pass
def calculate_cash_flow_exposure(self, cash_flows, currencies):
"""
计算现金流敞口
分析未来各币种现金流入流出
"""
pass
def calculate_translation_exposure(self, foreign_assets, exchange_rates):
"""
计算折算敞口
境外资产负债因汇率变动产生的账面损益
"""
pass
def generate_hedge_recommendations(self, exposure_analysis, hedge_instruments):
"""
生成对冲建议
推荐最优对冲工具和比例
"""
pass
3. 外汇衍生品定价与分析
class FXDerivativePricer:
"""外汇衍生品定价器"""
def price_fx_forward(self, spot_rate, domestic_rate, foreign_rate, maturity):
"""
定价外汇远期
F = S × exp((r_d - r_f) × T)
"""
pass
def price_fx_swap(self, near_date, far_date, spot_rate, points):
"""
定价外汇掉期
"""
pass
def price_fx_option(self, option_params, market_data, model="garman_kohlhagen"):
"""
定价外汇期权
Models: Garman-Kohlhagen, Vanna-Volga, Local Volatility
"""
pass
def price_ccs(self, ccs_params, discount_curves):
"""
定价货币互换(CCS)
"""
pass
def calculate_option_greeks(self, fx_option, market_data):
"""
计算外汇期权希腊字母
包括：Delta, Gamma, Vega, Theta, Rho, Vanna, Volga
"""
pass
4. 套保有效性分析
class FXHedgeEffectivenessAnalyzer:
"""外汇套保有效性分析器"""
def dollar_offset_test(self, hedged_item, hedging_instrument, period):
"""
美元抵消法测试
比率在80%-125%之间为高度有效
"""
pass
def regression_analysis(self, hedged_item_series, hedging_instrument_series):
"""
回归分析
R² ≥ 0.8 且斜率在0.8-1.25之间为高度有效
"""
pass
def calculate_hedge_ineffectiveness(self, hedged_item, hedging_instrument):
"""
计算套保无效部分
用于会计处理和风险管理
"""
pass
def generate_hedge_documentation(self, hedge_relationship, effectiveness_results):
"""
生成套保文档
满足会计准则要求的套保文档
"""
pass
与核心插件的集成
# 外汇业务插件使用核心服务示例
from core_plugins.ficc_core import CurveBuilder, DataConnectionManager
from core_plugins.risk_management import MarketRiskManager
class FXDeskPlugin:
def __init__(self):
self.curve_builder = CurveBuilder()
self.data_conn = DataConnectionManager()
self.risk_manager = MarketRiskManager()
self.fx_analyzer = FXAnalyzer()
self.fx_pricer = FXDerivativePricer()
def analyze_fx_portfolio(self, fx_portfolio, market_data):
# 获取市场数据
fx_rates = self.data_conn.connect_market_data("bloomberg").get_fx_rates()
# 分析汇率走势
trend_analysis = self.fx_analyzer.analyze_exchange_rate(
currency_pair=fx_portfolio.base_currency + fx_portfolio.quote_currency,
historical_data=market_data.historical_rates
)
# 计算敞口
exposure = FXExposureManager().calculate_position_exposure(
positions=fx_portfolio.positions,
base_currency="CNY"
)
# 衍生品定价
for option in fx_portfolio.options:
price = self.fx_pricer.price_fx_option(
option_params=option.params,
market_data=market_data,
model="garman_kohlhagen"
)
# 风险计算
var_result = self.risk_manager.calculate_var(
portfolio=fx_portfolio,
method="historical",
confidence=0.99
)
return {
"trend_analysis": trend_analysis,
"exposure": exposure,
"risk_metrics": var_result
}
依赖项
- pandas >= 2.0.0
- numpy >= 1.24.0