TY - JOUR
T1 - Evaluating the hedging error in price processes with jumps present
AU - Jing, Bing Yi
AU - Kong, Xin Bing
AU - Liu, Zhi
AU - Zhang, Bo
PY - 2013
Y1 - 2013
N2 - In this draft, we consider a hedging strategy concerning only the continuous parts of two asset price processes which have jumps. Two consistent estimators of the hedging strategy, ρ̂ and ρ̃, are presented in terms of realized bipower variation and threshold quadratic variation, respectively. Based on ρ̂, estimators for operational risk, market risk (risk due to jumps) and total risk are investigated. It turns out that the variance of ρ̂ enters into the bias of the operational risk estimator, whereas the variance is mainly due to jump influenced bipower estimation error. The convergence rate of the operational risk estimator (properly centralized) is OP ((δt)̄1/2. The convergence rate of the market risk is however OP ((δt)̄1/2. Based on ρ̃, the total risk is also studied, and it has the same convergence rate as that based on ρ̂. Besides the interest in financial econometrics, it is also of significance in a statistical sense when we are interested in estimating the quadratic variation of the corresponding unhedgeable residual process.
AB - In this draft, we consider a hedging strategy concerning only the continuous parts of two asset price processes which have jumps. Two consistent estimators of the hedging strategy, ρ̂ and ρ̃, are presented in terms of realized bipower variation and threshold quadratic variation, respectively. Based on ρ̂, estimators for operational risk, market risk (risk due to jumps) and total risk are investigated. It turns out that the variance of ρ̂ enters into the bias of the operational risk estimator, whereas the variance is mainly due to jump influenced bipower estimation error. The convergence rate of the operational risk estimator (properly centralized) is OP ((δt)̄1/2. The convergence rate of the market risk is however OP ((δt)̄1/2. Based on ρ̃, the total risk is also studied, and it has the same convergence rate as that based on ρ̂. Besides the interest in financial econometrics, it is also of significance in a statistical sense when we are interested in estimating the quadratic variation of the corresponding unhedgeable residual process.
KW - Hedging strategy
KW - Jump diffusion
KW - Quadratic variation
KW - Realized bipower variation
KW - Thresholdvariation
KW - Variation of time
KW - Volatility
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000330487100001
UR - https://openalex.org/W2329801247
UR - https://www.scopus.com/pages/publications/84893426245
U2 - 10.4310/SII.2013.v6.n4.a1
DO - 10.4310/SII.2013.v6.n4.a1
M3 - Journal Article
SN - 1938-7989
VL - 6
SP - 413
EP - 425
JO - Statistics and its Interface
JF - Statistics and its Interface
IS - 4
ER -