BLS 期权定价
欧式期权 · 布莱克-斯科尔斯模型
根据标的价格、行权价、无风险利率、到期时间与波动率,计算欧式看涨/看跌期权的理论价格。
计算结果
点击「计算」查看输出
code
计算逻辑代码
以下为「ISDA国际通用」BLS 期权定价的 Python 代码示例(基于 QuantLib)。
# 依赖版本:
# python==3.9
# QuantLib==1.43
import math
import traceback
import QuantLib as ql
# ============================================================
# 核心计算函数(QuantLib BlackCalculator 口径)
# ============================================================
def _bls_price(S, K, r, T, sigma, q, option_type):
"""
QuantLib BlackCalculator
option_type: ql.Option.Call / ql.Option.Put
"""
# Black 模型参数:
# forward = S * e^{(r-q)T} 标的远期价格
# discount = e^{-rT} 到期支付折现因子
# stdDev = sigma * sqrt(T) 远期价格对数标准差
forward = S * math.exp((r - q) * T)
discount = math.exp(-r * T)
stdDev = sigma * math.sqrt(T)
payoff = ql.PlainVanillaPayoff(option_type, K)
bc = ql.BlackCalculator(payoff, forward, stdDev, discount)
price = bc.value()
delta = bc.delta(S)
gamma = bc.gamma(S)
vega = bc.vega(T)
theta = bc.theta(S, T)
rho = bc.rho(T)
return price, delta, gamma, vega, theta, rho
def qjquant_calu_blsprice(
price_var: float,
strike_var: float,
rate_var: float = 0.0,
time_var: float = 1.0,
volatility_var: float = 0.2,
yieldVal_var: float = 0.0,
):
try:
S, K, r, T, sigma, q = (
price_var, strike_var, rate_var,
time_var, volatility_var, yieldVal_var,
)
# 参数校验
if S <= 0 or K <= 0:
return {"ok": False, "msg": "标的价和行权价必须大于 0"}
if T <= 0:
return {"ok": False, "msg": "到期时间必须大于 0"}
if sigma <= 0:
return {"ok": False, "msg": "波动率必须大于 0"}
call_price, call_delta, call_gamma, call_vega, call_theta, call_rho = _bls_price(
S, K, r, T, sigma, q, ql.Option.Call
)
put_price, put_delta, put_gamma, put_vega, put_theta, put_rho = _bls_price(
S, K, r, T, sigma, q, ql.Option.Put
)
return {
"ok": True,
"inputs": {
"price": S, "strike": K, "rate": r,
"time": T, "volatility": sigma, "yield": q,
},
"call": {
"price": round(call_price, 4),
"delta": round(call_delta, 4),
"gamma": round(call_gamma, 4),
"vega": round(call_vega, 4),
"theta": round(call_theta, 4),
"rho": round(call_rho, 4),
},
"put": {
"price": round(put_price, 4),
"delta": round(put_delta, 4),
"gamma": round(put_gamma, 4),
"vega": round(put_vega, 4),
"theta": round(put_theta, 4),
"rho": round(put_rho, 4),
},
}
except Exception as e:
traceback.print_exc()
return {"ok": False, "msg": f"计算失败: {e}"}
# ============================================================
# 示例:复制本文件后直接运行
# ============================================================
if __name__ == "__main__":
print("=" * 60)
print("示例 1:标准欧式期权(无股息,平值附近)")
print("=" * 60)
r1 = qjquant_calu_blsprice(
price_var=100.0,
strike_var=100.0,
rate_var=0.05,
time_var=1.0,
volatility_var=0.2,
yieldVal_var=0.0,
)
print(r1)
print()
print("=" * 60)
print("示例 2:含股息率的欧式期权(半年期限)")
print("=" * 60)
r2 = qjquant_calu_blsprice(
price_var=100.0,
strike_var=95.0,
rate_var=0.03,
time_var=0.5,
volatility_var=0.25,
yieldVal_var=0.02,
)
print(r2)
print()
print("=" * 60)
print("示例 3:深度实值看涨期权(高波动、长到期)")
print("=" * 60)
r3 = qjquant_calu_blsprice(
price_var=120.0,
strike_var=80.0,
rate_var=0.04,
time_var=2.0,
volatility_var=0.3,
yieldVal_var=0.01,
)
print(r3)
print()
print("=" * 60)
print("示例 4:深度虚值看跌期权(低波动、短到期)")
print("=" * 60)
r4 = qjquant_calu_blsprice(
price_var=100.0,
strike_var=120.0,
rate_var=0.02,
time_var=0.25,
volatility_var=0.15,
yieldVal_var=0.0,
)
print(r4)