This paper estimates the information-based trading using spatially selective noise filtration (SSNF) method. The SSNF method is a kind of filtration technique based on the different spatial correlation of the wavele...This paper estimates the information-based trading using spatially selective noise filtration (SSNF) method. The SSNF method is a kind of filtration technique based on the different spatial correlation of the wavelet transform at several adjacent scales. Using SSNF method, the information shock caused by the informed traders could be extracted from the prices effectively, then the PINs at different scales could be calculated. The measure of informed trading can capture some asymmetric information properties, which is consistent with some empirical consensuses. Furthermore, compared with the MLE method in EKOP model, the method has computational facilities in avoiding the overflow or underflow problem, the boundary solutions problem and the initial values problem. And the method could be applied to the high-frequency world in both order-driven and quote-driven market.展开更多
Entropy balancing is introduced to assess the deposit insurance design characteristics in this paper. Applying an extensive duration data including 141 countries from 1960 to 2015, the authors employ the entropy balan...Entropy balancing is introduced to assess the deposit insurance design characteristics in this paper. Applying an extensive duration data including 141 countries from 1960 to 2015, the authors employ the entropy balancing method to simulate the data structure under the implicit deposit insurance system. Then the paper adopts an endogenous treatment effects model and a Heckman two-step selection model to examine payouts choice of the deposit insurance. It is found that entropy balancing can calibrate unit weights and reweight treatment and control groups by a maximum entropy scheme.Thus, a possibly given conditions will be satisfied and information concerning sample moments will be integrated. The results show clearly that different payouts choice and the corresponding coverage setting can effectively reduce the moral hazards that may result from the introduction of a deposit insurance scheme. When the Payouts is Per Depositor Account or Per Depositor, the banks’ moral hazard is higher. However, the payment method of Per Depositor Per Institution can effectively restrain the banks’ risk-taking activities.展开更多
基金supported by the National Natural Science Foundation of China under Grant Nos.71371023,71371024,71373017,71171146,and 71771008
文摘This paper estimates the information-based trading using spatially selective noise filtration (SSNF) method. The SSNF method is a kind of filtration technique based on the different spatial correlation of the wavelet transform at several adjacent scales. Using SSNF method, the information shock caused by the informed traders could be extracted from the prices effectively, then the PINs at different scales could be calculated. The measure of informed trading can capture some asymmetric information properties, which is consistent with some empirical consensuses. Furthermore, compared with the MLE method in EKOP model, the method has computational facilities in avoiding the overflow or underflow problem, the boundary solutions problem and the initial values problem. And the method could be applied to the high-frequency world in both order-driven and quote-driven market.
基金supported by the National Natural Science Foundation of China under Grant Nos.71373017and 70973007
文摘Entropy balancing is introduced to assess the deposit insurance design characteristics in this paper. Applying an extensive duration data including 141 countries from 1960 to 2015, the authors employ the entropy balancing method to simulate the data structure under the implicit deposit insurance system. Then the paper adopts an endogenous treatment effects model and a Heckman two-step selection model to examine payouts choice of the deposit insurance. It is found that entropy balancing can calibrate unit weights and reweight treatment and control groups by a maximum entropy scheme.Thus, a possibly given conditions will be satisfied and information concerning sample moments will be integrated. The results show clearly that different payouts choice and the corresponding coverage setting can effectively reduce the moral hazards that may result from the introduction of a deposit insurance scheme. When the Payouts is Per Depositor Account or Per Depositor, the banks’ moral hazard is higher. However, the payment method of Per Depositor Per Institution can effectively restrain the banks’ risk-taking activities.