This paper studics thc optimal pairs trading stratcgy of the mcan-variance(MV)objective function under a continuous-time cointegration model with a common stochastic factor.Although this common stochastic factor is no...
the National Social Science Foundation of China(Grant No.22BTJ035).
The classification of functional data has drawn much attention in recent years.The main challenge is representing infinite-dimensional functional data by finite-dimensional features while utilizing those features to a...
The article introduces proportional reinsurance contracts under the mean-variance criterion,studying the time-consistence investment portfolio problem considering the interests of both insurance companies and reinsura...
supported by the European Union’s H2020 Coordination and Support Actions CA19130 under Grant Agreement Period 2.
Mean-variance portfolio optimization models are sensitive to uncertainty in risk-return estimates,which may result in poor out-of-sample performance.In particular,the estimates may suffer when the number of assets con...
partially supported by the National Natural Science Foundation of China under Grant Nos.72201067,12201129,and 71973028;the Natural Science Foundation of Guangdong Province under Grant No.2022A1515010839;the Project of Science and Technology of Guangzhou under Grant No.202102020273;the Opening Project of Guangdong Province Key Laboratory of Computational Science at Sun Yat-sen University under Grant No.2021004。
This paper studies the multi-period mean-variance(MV)asset-liability portfolio management problem(MVAL),in which the portfolio is constructed by risky assets and liability.It is worth mentioning that the impact of gen...
This research was supported by the Jiangsu Funding Program for Excellent Postdoctoral Talent(2022ZB804).
The cardinality constrained mean–variance(CCMV)portfolio selection model aims to identify a subset of the candidate assets such that the constructed portfolio has a guaranteed expected return and minimum variance.By ...
Using expectations regarding utilities to make decisions in a risk environment hides a paradox,which is called the expected utility enigma.Moreover,the mystery has not been solved yet;an imagined utility function on t...
supported by the National Natural Science Foundation of China(Nos.71671106 and 72171138);by the Shanghai Institute of International Finance and Economics,and by the Program for Innovative Research Team of Shanghai University of Finance and Economics(No.2020110930);partially supported by the Research Grants Council of the Hong Kong Special Administrative Region,China(No.CityU 11200219);partially supported by the National Natural Science Foundation of China(No.72050410356).
We propose a novel dynamic asset allocation framework based on a family of mean-variance-induced utility functions that alleviate the non-monotonicity and time-inconsistency problems of mean-variance optimization.The ...
partially supported by the National Natural Science Foundation of China(Nos.71971132,61573244,71671106,71971083 and 72171138);by the Key Program of National Natural Science Foundation of China(No.71931004);by Shanghai Institute of International Finance and Economics;by Program for Innovative Research Team of Shanghai University of Finance and Economics;by the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE.
Due to the non-separability of the variance term,the dynamic mean-variance(MV)portfolio optimization problem is inherently difficult to solve by dynamic programming.Li and Ng(Math Finance 10(3):387-406,2000)and Zhou a...
supported by National Key R&D Program of China under Grant No.2018YFB1305400;the National Natural Science Foundations of China under Grant Nos.11971266,11831010,11571205;Shandong Provincial Natural Science Foundations under Grant Nos.ZR2020ZD24,ZR2019ZD42。
This paper is concerned with an optimal reinsurance and investment problem for an insurance firm under the criterion of mean-variance. The driving Brownian motion and the rate in return of the risky asset price dynami...