• Follow FBA’s activities from the below list as ‘SEMINAR’, ‘THESIS DEFENSE’ or ‘OTHER’
  • Past seminars (between October 2010 & November 2017) are here
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RECENT SEMINARS

Jan
8
Fri
2021
Online Seminar by Jamal Abdul Nasir
Jan 8 @ 1:40 pm – 2:40 pm
Online Seminar by Jamal Abdul Nasir
‘A decision support framework for home health care transportation with simultaneous multi-vehicle routing and staff scheduling synchronization’
by Jamal Abdul Nasir
The University of Hong Kong

Join Zoom Meeting
https://zoom.us/j/3370698252?pwd=OWRmQ1hNNWhRWng2QnhsTENzK1hGUT09
Meeting ID: 337 069 8252
Passcode: 597678

Abstract

Due to the ageing population and the prevalence of chronic diseases, Home Health Care (HHC) practices are significantly increasing in developed countries to provide coordinated health related services to patients at their homes. Accordingly, the scope of HHC services is also expanding from typical nursing and postoperative care at home to cover all types of needs of elderly patients (e.g., personal care, drug delivery and meal services). This paper aims to address the pressing demand for HHC services and develop a novel and effective mathematical model and solution methodology for supporting health care service delivery decisions. Our decision support framework captures the real needs of HHC services, including the challenges of creating simultaneous schedules and route plans for a set of HHC staff and Home Delivery Vehicles (HDVs) under the requirements of synchronization between HHC staff and HDVs visits, multiple visits to patients, multiple routes of HDVs and pickup/delivery visits related precedence for HDVs. A Mixed Integer Linear Programming (MILP) model is developed to characterize the optimization problem. Considering the computational complexity of the problem, a Hybrid Genetic Algorithm (HGA) is proposed to suggest HHC planning decisions. The model formulation and proposed HGA are examined on real-life instances for demonstrating its practicality and randomly generated test instances for assessing the scalability of the proposed approach. The results show the effectiveness and efficiency of our solution methodology. Experimental results indicate that the proposed algorithm provided a good performance even with an increasing number of required synchronized services, whereas the heuristic tactics facilitate the HGA to produce better-quality solutions in a significantly shorter time. Our framework is expected to contribute to an important aspect of shared healthcare mobility.

Bio: Jamal Abdul Nasir is a Post-doctoral fellow in the Department of Industrial and Manufacturing Systems Engineering at the University of Hong Kong. He received his B.Sc. degree in Industrial Engineering and Management from the University of the Punjab, Pakistan and M.S. degree in Industrial and Systems Engineering from Korea Advanced Institute of Science and Technology, South Korea. Dr. Nasir earned his Ph.D. in Systems Engineering and Engineering Management from the City University of Hong Kong. During the period, he also worked as an Industrial Engineer at Interloop Limited, Pakistan. His current research interests include systems modeling and optimization, health care service delivery, supply chain systems and transportation planning. He tends to work on application-oriented research problems that try to bring cutting-edge research ideas to mainstream practice. His research draws tools from operations research, predictive analytics and queuing theory

Jan
22
Fri
2021
Online Seminar by Bo Wei
Jan 22 @ 1:40 pm – 2:40 pm
Online Seminar by Bo Wei
‘Stochastic Clearing under Multiple Brownian Motion Input Processes’
by Bo Wei
Singapore University of Technology and Design

Join Zoom Meeting
https://zoom.us/j/3370698252?pwd=OWRmQ1hNNWhRWng2QnhsTENzK1hGUT09
Meeting ID: 337 069 8252
Passcode: 597678

Abstract

Stochastic clearing theory has wide-spread applications in the context of supply chain and service operations management. While the existing literature in the area has focused on the single input case, our focus is on the case of multiple input processes with the goal of investigating the structure of exact optimal clearing policies, directly applicable in the context of shipment consolidation practices, under both cost- and service-based performance measures. To this end, _rst, we demonstrate that the previously established cost-optimal quantity-based policy (QP) is not cost-wise superior to the cost-optimal time-based policy (TP): a notable result which is fundamentally di_erent than for the case of single input process. Next,we identify a new set of policies, referred as (TQ + T)-policies, and show that the cost-optimal (TQ+T)-policy is either the optimal QP or the optimal TP. Building on these results, we propose an instantaneous rate policy (IRP) and prove its optimality among a large class of renewal-type clearing policies, in terms of the average cost. In relation to service-based performance, we study the behaviour of average weighted delay rate (AWDR)under the IRP. We show that, for a _xed clearing frequency, the IRP also achieves the lowest AWDR among a large class of renewal-type clearing policies. Hence, our newly established IRP leads to a win-win operational strategy in terms of both cost- and service-based criteria. Our methodological contribution is in the delivery of a uni_ed method to calculate both cost- and service-based performance measures for a general class of renewal type clearing policies by developing novel martingale-based arguments. Our results are of practical value in the context of design and operation of shipment consolidation programs.

Bio: Bo Wei is a research fellow at Singapore University of Technology and Design from November 2020 onward. Prior to his current position,he was a research fellow at National University of Singapore since 2015.He obtained his PhD in Industrial Engineering from Texas A&M University in United States in December 2014 under the supervision of Drs.S_la C_ etinkaya and Daren B. H. Cline. He also holds an MS in Control Theory (2008) and a BS in Automation (2005), both from the University of Science and Technology of China. His research expertise and interests are in applied probability and large-scale constrained optimization with applications in supply chain and service systems. Wei’s publications in these areas have appeared in Operations Research Letters, Probability in Engineering and Informational Sciences, Annals of Operations Research, and Mathematical Methods of Operations Research.

Jan
29
Fri
2021
Online Seminar by Efe Çötelioğlu
Jan 29 @ 1:40 pm – 2:40 pm
Online Seminar by Efe Çötelioğlu
‘Do Mutual Funds and ETFs Affect the Commonality in Liquidity of Corporate Bonds?’
by Efe Çötelioğlu
Swiss Finance Institute & USI Lugano

Join Zoom Meeting
https://zoom.us/j/3370698252?pwd=OWRmQ1hNNWhRWng2QnhsTENzK1hGUT09
Meeting ID: 337 069 8252
Passcode: 597678

Abstract

The paper studies the effect of growing mutual fund and ETF ownership on the commonality in liquidity of bonds in their portfolios. Unpredictable liquidity needs of funds may give rise to correlated trading across underlying illiquid bonds. I document a positive and significant relationship between ETF ownership and liquidity commonality of investment-grade bonds, which suggests that ETFs reduce the possibility to diversify liquidity risk. In contrast, and unlike for equities, mutual fund ownership does not affect the co-movement in bond liquidity. I identify three channels that explain the differential impact of ETFs and mutual funds: flow-driven correlated trading, different investor clienteles, and ETF arbitrage activity.

Feb
5
Fri
2021
Online Seminar by Mosab Hammoudeh
Feb 5 @ 5:00 pm – 6:00 pm
Online Seminar by Mosab Hammoudeh
‘Competition Threats and Rival Innovation Responses: Evidence from Breakthrough Therapies’
by Mosab Hammoudeh
University of Iowa

Join Zoom Meeting
https://zoom.us/j/3370698252?pwd=OWRmQ1hNNWhRWng2QnhsTENzK1hGUT09
Meeting ID: 337 069 8252
Passcode: 597678

Abstract

We study the effect of competition on firm innovation at the product level. We instrument shocks to competition in therapeutic areas with the FDA’s breakthrough designation therapy (BTD) indication. BTDs strongly associate with several indicators of future success, including announcement returns and eventual FDA approval to market the drug. BTD shocks discourage rivals’ innovation in that therapeutic area. The effect varies with the ex-ante competitiveness of the therapeutic area, as well as with the rival’s position (leader vs. follower) in that area, in a manner consistent with the theory by Aghion et al. (2005).

Feb
12
Fri
2021
Online Seminar by Bahattin Büyükşahin
Feb 12 @ 5:00 pm – 6:00 pm
Online Seminar by Bahattin Büyükşahin
‘Do Institutional Traders Predict Bull and Bear Markets?’
by Bahattin Büyükşahin
American University, Washington

Join Zoom Meeting
https://zoom.us/j/3370698252?pwd=OWRmQ1hNNWhRWng2QnhsTENzK1hGUT09
Meeting ID: 337 069 8252
Passcode: 597678

Abstract

We analyze the role of hedge fund, swap dealer, and arbitrageur activity in the crude oil market. Using confidential position data on institutional investors, we first analyze the linkages between trader positions and fundamentals. We find that these institutional position changes reflect fundamental economic factors. Subsequently, we adopt a Markov regime-switching model with time-varying probabilities and find institutional position changes contribute incrementally to the probability of regime changes, displaying the synchronization patterns modeled in Abreu and Brunnermeier (2002; 2003). 

Feb
19
Fri
2021
Online Seminar by Hakan Özyılmaz
Feb 19 @ 5:00 pm – 6:00 pm
Online Seminar by Hakan Özyılmaz
The Debt Payment Puzzle: An Experimental Investigation
by Hakan Özyılmaz
University of California

Join Zoom Meeting
https://zoom.us/j/3370698252?pwd=OWRmQ1hNNWhRWng2QnhsTENzK1hGUT09
Meeting ID: 337 069 8252
Passcode: 597678

Abstract

This paper studies the sources of suboptimal allocations observed in credit card repayments using a diagnostic laboratory experiment. We find that optimization ability and limited attention are jointly insufficient to explain the puzzle. Moving beyond existing results, we find that the inherent negative frame of the debt payment problem interferes with subjects’ ability to optimize and hinders learning. We show that subjects predominantly rely on the irrelevant balance information while forming their decisions, regardless of how vividly the balance information is displayed. Using additional treatments, we find that the debt frame increases subjects’ focus on the irrelevant balance information.