scholarly journals David vs Goliath (You against the Markets), A Dynamic Programming Approach to Separate the Impact and Timing of Trading Costs

2015 ◽  
Author(s):  
Ravi Kashyap
Keyword(s):  
Dynamic Programming ◽  
Programming Approach ◽  
Trading Costs ◽  
Dynamic Programming Approach ◽  
The Impact

scholarly journals Enterprise Resilience Assessment—A Quantitative Approach

2019 ◽  
Vol 11 (16) ◽  
pp. 4327 ◽  
Author(s):  
Raquel Sanchis ◽  
Raúl Poler
Keyword(s):  
Dynamic Programming ◽  
Annual Cost ◽  
Quantitative Approach ◽  
Programming Approach ◽  
Dynamic Programming Approach ◽  
Preventive Actions ◽  
The Impact ◽  
Resilience Capacity ◽  
Resilience Assessment

Enterprise resilience is a key capacity to guarantee enterprises’ long-term continuity. This paper proposes a quantitative approach to enhance enterprise resilience by selecting optimal preventive actions to be activated to cushion the impact of disruptive events and to improve preparedness capability, one of the pillars of the enterprise resilience capacity. The proposed algorithms combine the dynamic programming approach with attenuation formulas to model real improvements when a combined set of preventive actions is activated for the same disruptive event. A numerical example is presented that shows remarkable reductions in the expected annual cost due to potential disruptive events.

scholarly journals Optimal Talent Management of the Acquisition Workforce in Response to COVID-19: Dynamic Programming Approach

2022 ◽  
Vol 29 (99) ◽  
pp. 50-77
Author(s):  
Tom Ahn ◽  
Amilcar Menichini
Keyword(s):  
Dynamic Programming ◽  
Labor Market ◽  
The State ◽  
Retention Rates ◽  
Programming Approach ◽  
High Quality ◽  
Dynamic Programming Approach ◽  
Long Run ◽  
Short Run ◽  
The Impact

As the economic impact of the COVID-19 pandemic lingers, with the speed of recovery still uncertain, the state of the civilian labor market will impact the public sector. Specifically, the relatively stable and insulated jobs in the Department of Defense (DoD) are expected to be perceived as more attractive for the near future. This implies changes in DoD worker quit behavior that present both a challenge and an opportunity for the DoD leadership in retaining high-quality, experienced talent. The authors use a unique panel dataset of DoD civilian acquisition workers and a dynamic programming approach to simulate the impact of the pandemic on employee retention rates under a variety of recovery scenarios. Their findings posit that workers will choose not to leave the DoD while the civilian sector suffers from the impact of the pandemic. This allows leadership to more easily retain experienced workers. However, once the civilian sector has recovered enough, these same workers quit at an accelerated rate, making gains in talent only temporary. These results imply that while the DoD can take short-run advantage of negative shocks to the civilian sector to retain and attract high-quality employees, long-run retention will be achieved through more fundamental reforms to personnel policy that make DoD jobs more attractive, no matter the state of the civilian labor market.

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