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美国伦斯勒理工学院Chanaka Edirisinghe教授特邀报告

发布时间: 2018/07/05 08:58:37     点击次数:次   打印本页

 

【北航经商大讲堂 第23期】

 

美国伦斯勒理工学院Chanaka Edirisinghe教授特邀报告

 

 

题目: Leveraged Portfolio Selection under Liquidity Risk: Model, Theory, and Computation

 

主讲人: Chanaka Edirisinghe, 美国伦斯勒理工学院 讲席教授, Lally管理学院学术副院长

 

主持人: 陈靖楠 副教授

 

时间:   20187919:00-21:00

 

地点:   北航新主楼A618

 

摘要:  

 

When a financial portfolio is rebalanced under market conditions to satisfy leverage and other restrictions, asset illiquidity adversely-impacts trading prices, and hence, the portfolio's performance. Using a continuous-time trading model, we study the Pareto-efficiency between risk-adjusted return, leverage, and target return. We show analytically that the Sharpe-maximizing unlevered portfolio is no longer a tangency portfolio, and proportionate-leveraging is not an optimal strategy under liquidity risk. As target return increases, the required minimum portfolio-leverage increases at an increasing-rate, while the Sharpe-Leverage frontiers are progressively-dominated. These results contrast with the classical portfolio theory that assumes no liquidity risk, and our empirical analysis using ETF asset-data verifies that ignoring liquidity impact may lead to severe portfolio under-performance.  

 

If time permits, I will also consider a specific situation involving only de-leveraging, where the model is simplified to maximize portfolio’s expected value under leverage and margin limits. This leads to a separable model, but it is extremely difficult to solve due to non-convexity. I will present a new and general dual cutting plane technique that solves the Lagrangian dual more-efficiently. The sensitivities of the optimal deleveraging strategy to leverage and margin limits will be discussed in the context of the above data set.  

 

当调整投资组合以满足杠杆和其他限制时,资产流动性对交易价格会产生不利影响,进而影响投资组合的表现。运用连续时间的交易模型,我们研究风险调整收益率、杠杆率和目标收益率之间的帕累托效率。我们的解析结果表明,夏普率最大化的无杠杆投资组合不再是切向投资组合,在流动性风险下按比例加杠杆也不再是最优策略。随着目标收益的增加,所需的最低投资组合杠杆率以递增的速度增长,而夏普杠杆前沿逐渐被主导。这些结果与忽略流动性风险的经典的投资组合理论不同,并且我们基于ETF资产数据的实证分析证实忽略资产流动性会严重影响投资组合表现。  

 

如果时间允许,我还会考虑一个特定的情况,只涉及去杠杆化,其中模型被简化以最大化投资组合在杠杆率和保证金限制下的预期价值。这导致了一个可分离的模型,但是由于其非凸性,求解非常困难。我将提出一个新的一般的双切割平面技术,更有效地解决拉格朗日对偶问题并讨论最佳去杠杆化策略对杠杆率和保证金限制的敏感性。  

 

主讲人简介:

 

Dr. Chanaka Edirisinghe holds a BS (Mechanical Engineering), an M.Eng (Industrial Engineering and Management), and a Ph.D. (Management Science) from University of British Columbia, Canada. He has published extensively in operations research and finance, focusing on quantitative finance topics, as well as stochastic and quadratic optimization. His research appears in Management Science, Operations Research, Mathematical Programming, Mathematics of Operations Research, as well as in Journal of Financial and Quantitative Analysis, Journal of Banking and Finance, and Quantitative Finance, among others. He received the Citation of Excellence Award by Emerald Management Reviews in 2009 for publishing one of the top 50 management research articles in the world. He was a former Vice Chair of Financial Services Section, as well as Optimization Society of INFORMS, and he was the General Chair of the INFORMS 2016 annual conference.  

 

Chanaka Edirisinghe教授于加拿大英属哥伦比亚大学获得管理科学博士学位、工程学硕士学位及工业机械工程学士学位,并在运筹学和金融学领域发表了大量文章,他专注于量化金融、随机和二次优化。他在Management Science, Operations Research, Mathematical Programming, Mathematics of Operations Research, Journal of Financial and Quantitative Analysis, Journal of Banking and Finance, Quantitative Finance等杂志上发表过文章,并于2009年获得Emerald Management Reviews颁发的Citation of Excellence Award。他曾担任美国运筹与管理科学协会(INFORMS)金融服务分会和优化分会副主席,并且担任INFORMS 2016年会的大会主席。