The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform
Somnath Das - One of the best experts on this subject based on the ideXlab platform.
-
Corporate Cash Management: A study on retail sector
Accounting, 2017Co-Authors: Somnath DasAbstract:Cash is the life blood of the organizations and Cash Management is the important aspect of any organization. Corporate Cash Management boosts the companies from small to giant in the competitive environment. In this study, we highlighted three factors of a good Cash Management practices; namely Cash conversion cycle, Cash holding and credit score. Influence of one factor to other help organizations manage their corporate Cash more appropriately. In this study, we collected data from Capitaline corporate data base of Mumbai over the period 2002-2011. In this study we observed that due to higher credit score, companies were forced to minimize their Cash conversion cycle and helped them maintain lower levels of working capital.
-
Cash Management in IT Sector - A Study
Journal of Commerce and Accounting Research, 2015Co-Authors: Somnath DasAbstract:Cash plays a very important role in modern business, specifically a new one. Cash is the life blood of every business. Cash may be in the form of liquid money, bank balance etc. In this respect, Cash Management is both art as well as science of managing a companys short-term resources for its ongoing activities, mobilizing funds and optimizing liquidity. In this contest another important concept which is related with the Cash Management is the Treasury technique which emphasizes the liquidity by different factors and processes which convert immediately into Cash for increasing profitability. Inefficient Cash Management may lead the company to bankruptcy. In this paper we highlighted different perspectives by which we can control the corporate Cash of the company from Cash Conversion Cycle, Cash Flow, and Creditworthiness point of view. In this paper we tried to interlink among them to control and manage Cash well, so that bankruptcy can be prevented and profitability should be improved.
-
Measuring the Efficiency of Business through Cash Management A Study on Consumer Durable Sector
Journal of Commerce and Accounting Research, 2015Co-Authors: Somnath DasAbstract:Over the years Cash has played a very important role in business, specifically a new one. Cash is the life-blood of every business. Cash may be the liquid currency as well as bank account balances held at different commercial banks. Therefore, Cash Management is the art as well as the science of managing a companys short-term resources for its ongoing activities, mobilising funds and optimising liquidity. In this contest another important concept which is related with the Cash Management is the treasury technique which emphasizes the liquidity by different factors and processes which convert immediately into Cash for increasing
Francisco Salas-molina - One of the best experts on this subject based on the ideXlab platform.
-
Multiple criteria Cash Management policies with particular liquidity terms
IMA Journal of Management Mathematics, 2019Co-Authors: Francisco Salas-molina, David Pla-santamaria, Ana García-bernabeu, Fernando Mayor-vitoriaAbstract:Abstract Eliciting policies for Cash Management systems with multiple assets is by no means straightforward. Both the particular relationship between alternative assets and time delays from control decisions to availability of Cash introduce additional difficulties. Here we propose a Cash Management model to derive short-term finance policies when considering multiple assets with different expected returns and particular liquidity terms for each alternative asset. In order to deal with the inherent uncertainty about the near future introduced by Cash flows, we use forecasts as a key input to the model. We express uncertainty as lack of predictive accuracy and we derive a deterministic equivalent problem that depends on forecasting errors and preferences of Cash managers. Since the assessment of the quality of forecasts is recommended, we describe a method to evaluate the impact of predictive accuracy in Cash Management policies. We illustrate this method through several numerical examples.
-
A stochastic goal programming model to derive stable Cash Management policies
Journal of Global Optimization, 2019Co-Authors: Francisco Salas-molina, Juan Antonio Rodríguez-aguilar, David Pla-santamariaAbstract:In this paper, we consider Cash Management systems with multiple bank accounts described by a given particular relationship between accounts and by a linear state transition law. Since Cash managers may simultaneously consider a number of possibly conflicting goals, we provide a general stochastic goal programming model that is able to handle multiple goals and also the inherent uncertainty introduced by expected Cash flows. We describe in detail an instance of our general model that considers the optimization of three different criteria such as cost, risk and Cash balance stability. We claim that Cash balance stability is an interesting goal to deal with the inherent uncertainty of expected Cash flows. We also provide useful instructions for Cash managers to set the main parameters of our model in practice. Our model provides a systematic approach to multiobjective Cash Management that is ready to be implemented in decision support systems for Cash Management.
-
On the formal foundations of Cash Management systems
Operational Research, 2019Co-Authors: Francisco Salas-molina, David Pla-santamaria, Juan Antonio Rodríguez-aguilar, Ana García-bernabeuAbstract:Cash Management aims to find a balance between what is held in Cash and what is allocated in other investments in exchange for a given return. Dealing with Cash Management systems with multiple accounts and different links between them is a complex task. Current Cash Management models provide analytic solutions without exploring the underlying structure of accounts and its main properties. There is a need for a formal definition of Cash Management systems. In this work, we introduce a formal approach to manage Cash with multiple accounts based on graph theory. Our approach allows a formal reasoning on the relation between accounts in Cash Management systems. A critical part of this formal reasoning is the characterization of desirable and non-desirable Cash Management policies. Novel theoretical results guide Cash managers in the analysis of complex Cash Management systems.
-
Fitting random Cash Management models to data
Computers & Operations Research, 2019Co-Authors: Francisco Salas-molinaAbstract:Abstract Organizations use Cash Management models to control balances to both avoid overdrafts and obtain a profit from short-term investments. Most Management models are based on control bounds which are derived from the assumption of a particular Cash flow probability distribution. In this paper, we relax this strong assumption to fit Cash Management models to data by means of stochastic and linear programming. We also introduce ensembles of random Cash Management models which are built by randomly selecting a subsequence of the original Cash flow data set. We illustrate our approach by means of a real case study showing that a small random sample of data is enough to fit sufficiently good bound-based models.
-
Data-driven multiobjective decision-making in Cash Management
2017Co-Authors: Francisco Salas-molina, Juan Antonio Rodríguez-aguilarAbstract:The volume and availability of business and finance data may continue to increase in the near future. However, the utility of such data is by no means straightforward due to a lack of integration between data-driven techniques and usual decision-making processes. This paper aims to integrate data with multiobjective decision-making in Cash Management by means of machine learning. To this end, we first consider Cash flow forecasting as a data-driven procedure to be used as a key input to multiobjective Cash Management problem in which both cost and risk are goals to minimize. Next, we compute the forecasting premium, namely, how much value can be achieved in exchange of predictive accuracy. Finally, we provide Cash managers with a general methodology to improve decision-making in Cash Management through the use of data and machine learning techniques. This methodology is based on a novel closed-loop procedure in which the estimated forecasting premium (if any) is used as a critical feedback information to find better forecasting models and, ultimately, better cost-risk results in Cash Management.
Hari Lall Garbharran - One of the best experts on this subject based on the ideXlab platform.
-
The Perceptions of Small Businesses in the Implementation of Cash Management Techniques
Journal of Economics and Behavioral Studies, 2014Co-Authors: Avika Mungal, Hari Lall GarbharranAbstract:The purpose of this paper is to ascertain the perceptions of small business owners on the implementation of Cash Management techniques in their businesses. This paper also highlights the importance of managing Cash inflow and outflow in the business and examines the impact on business profitability and sustainability. The study focused on small businesses in the Tongaat area, South Africa. This research was quantitative, descriptive and cross-sectional in nature. The instrument used to extract the relevant data from respondents was a Likert type questionnaire. The findings of this research identified the perceptions of small business Cash Management techniques. A short course on Cash Management could be offered by the Durban University of Technology to small business owners and managers to enhance their basic Cash Management knowledge in the implementation of Cash Management techniques.
Miao-sheng Chen - One of the best experts on this subject based on the ideXlab platform.
-
A fuzzy stochastic single-period model for Cash Management
European Journal of Operational Research, 2006Co-Authors: Jing-shing Yao, Miao-sheng ChenAbstract:The major purpose of this paper is to apply a stochastic single-period inventory Management approach to analyze optimal Cash Management policies with fuzzy Cash demand based on fuzzy integral method so that total cost is minimized. We will find that, after defuzzification, the Cash-raising amounts and the total costs between the fuzzy case and the crisp case are slightly different when the variation of Cash demand is small. As a result, we point out that the fuzzy stochastic single-period model is one extension of the crisp models. In any case, one may conclude that a conscientious analysis in fuzzy mathematics like that presented in this paper provides a financial decision maker with a deeper insight into the more real Cash Management problem.
Lawrence M. Krackov - One of the best experts on this subject based on the ideXlab platform.
-
International Cash Management for a multinational corporation
International Journal of Technology Management, 2014Co-Authors: Surendra K. Kaushik, Lawrence M. KrackovAbstract:This paper presents an analysis of broad and varied approaches to international Cash Management in terms of: (i) the differences between international Cash Management techniques and methods related primarily to domestic Cash Management, (ii) the scope of international Cash Management activities and those related to domestic business. It also focuses on a variety of major activities and strategies, by outlining the integral relationship of international Cash Management and overall financial planning for corporate needs, domestic as well as international, into an overall perspective.
