Managerial control divergence and analysts’ information precision

2017 ◽  
Vol 25 (5) ◽  
pp. 294-311 ◽  
Author(s):  
KoEun Park ◽  
Surjit Tinaikar ◽  
Yong-Chul Shin
Author(s):  
Jinghai Shao ◽  
Sovan Mitra ◽  
Andreas Karathanasopoulos

AbstractIn this paper we provide a stock price model that explicitly incorporates credit risk, under a stochastic optimal control system. The stock price model also incorporates the managerial control of credit risk through a control policy in the stochastic system. We provide explicit conditions on the existence of optimal feedback controls for the stock price model with credit risk. We prove the continuity of the value function, and then prove the dynamic programming principle for our system. Finally, we prove the Viscosity Solution of the Hamilton–Jacobi–Bellman equation. This paper is particularly relevant to industry, as the impact of credit risk upon stock prices has been prominent since the commencement of the Global Financial Crisis.


2021 ◽  
pp. 095001702097950
Author(s):  
Esme Terry ◽  
Abigail Marks ◽  
Arek Dakessian ◽  
Dimitris Christopoulos

Changes to the labour process in the home credit sector have exposed the industry’s agency workforce to increased levels of digital managerial control through the introduction of lending applications and algorithmic decision-making techniques. This article highlights the heterogeneous nature of the impact of digitalisation on the labour process and worker autonomy – specifically, in terms of workers’ engagement in unquantified emotional labour. By considering the limitations of digital control in relation to qualitative elements of the labour process, it becomes evident that emotional labour has the scope to be a source of autonomy for dependent self-employed workers when set against a backdrop of heightened digital control. This article therefore contributes to ongoing labour process debates surrounding digitalisation, quantified workers and digital managerial control.


2005 ◽  
Vol 24 (1) ◽  
pp. 95-104
Author(s):  
Eli Schragenheim ◽  
Avner Passal

This paper presents a structured methodology for learning from experience. It uses the Thinking Processes of the Theory of Constraints with some changes. The objective of the methodology is to learn from single events to identify flawed mental models, update them and fix the processes and norms that have been based on the flawed model. The methodology as such could be used as a managerial control mechanism, especially at times of change, to keep the organization on the right direction pointed by the top management.


2001 ◽  
Vol 33 (4) ◽  
pp. 663-665 ◽  
Author(s):  
Asim Erdilek

The surge in foreign direct investment (FDI)—investment with managerial control by the foreign investor, usually a multinational corporation—has been the major driver of globalization in the past two decades and the accelerator of economic development in many developing countries. It has, however, bypassed Turkey. By all relevant relative measures found in the United Nations' annual World Investment Report, Turkey has failed to attract much FDI.


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