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Articles 1 - 22 of 22
Full-Text Articles in Business
Augmenting Corporate Governance Through System Dynamics, Mridula Sahay, Kuldeep Kumar
Augmenting Corporate Governance Through System Dynamics, Mridula Sahay, Kuldeep Kumar
Kuldeep Kumar
The paper aims to augment good corporate governance as a whole with the efficiency and effectiveness of system dynamics via a system dynamics model. The majority of study of corporate governance focus on financial issue, ownership, agency theory etc. rather than analyzing the relation of all aspects associated to corporate governance system as a whole. This study aims to address this gap by focusing on corporate governance in a holistic manner. The value is determined as two-fold: i) It is possible to understand the importance of system dynamics methodology; and ii) It can help the organization to quantify corporate governance …
Invigorate Corporate Board Through Indian Scriptures, Mridula Sahay, Kuldeep Kumar
Invigorate Corporate Board Through Indian Scriptures, Mridula Sahay, Kuldeep Kumar
Kuldeep Kumar
There have been scores of corporate failure all over the world due to poor corporate governance or lapse in well manage corporation at the board level; due to this transparency, accountability, fiduciary duty, interest of shareholders, etc. are impinged on. Erosion of values, wisdom, righteousness, fairness, equanimity in judgment, etc. are appear to be possible attributes responsible for accelerating to corporate turpitude. Hence, this paper attempt to draw attention of the board members to look in to Indian scriptures and harmonize them to achieve sustainable and effective good governance and accentuate on their potential in helping to fulfill board’s responsibilities …
Predicting Financial Distress: A Comparison Of Survival Analysis And Decision Tree Techniques, Adrian Gepp, Kuldeep Kumar
Predicting Financial Distress: A Comparison Of Survival Analysis And Decision Tree Techniques, Adrian Gepp, Kuldeep Kumar
Kuldeep Kumar
Financial distress and then the consequent failure of a business is usually an extremely costly and disruptive event. Statistical financial distress prediction models attempt to predict whether a business will experience financial distress in the future. Discriminant analysis and logistic regression have been the most popular approaches, but there is also a large number of alternative cutting - edge data mining techniques that can be used. In this paper, a semi-parametric Cox survival analysis model and non-parametric CART decision trees have been applied to financial distress prediction and compared with each other as well as the most popular approaches. This …
Making Sense Out Of Big Data - Popular Machine Learning Tools In Business Analytics, Kuldeep Kumar, Sukanto Bhattacharya
Making Sense Out Of Big Data - Popular Machine Learning Tools In Business Analytics, Kuldeep Kumar, Sukanto Bhattacharya
Kuldeep Kumar
'Big data' is the new buzzword in academic as well as industry circles. Laney (2001) came up with the three Vs that characterize big data - volume, velocity and variety. When talking about big data one is usually referring to a huge volume, in terabytes rather than gigabytes, that is captured either across cross-section or across time or more likely across both i.e. as a panel. However it is the sheer size of the data set that puts big data in an entirely different category requiring a special set of analytical tools and approaches for extracting information and also data …
A Comparative Analysis Of Decision Trees Vis-À-Vis Other Computational Data Mining Techniques In Automotive Insurance Fraud Detection, Adrian Gepp, Kuldeep Kumar, J Holton Wilson, Sukanto Bhattacharya
A Comparative Analysis Of Decision Trees Vis-À-Vis Other Computational Data Mining Techniques In Automotive Insurance Fraud Detection, Adrian Gepp, Kuldeep Kumar, J Holton Wilson, Sukanto Bhattacharya
Kuldeep Kumar
No abstract provided.
Optimal Diet Selection And The Compliance Problem: A Technical Note, Munirul Nabinl, Sukanto Bhattacharya, Kuldeep Kumar
Optimal Diet Selection And The Compliance Problem: A Technical Note, Munirul Nabinl, Sukanto Bhattacharya, Kuldeep Kumar
Kuldeep Kumar
In this paper we have posited an alternative methodology for the least-cost diet selection problem subject to a given set of nutritional constraints. In order to better address the implicit compliance problem, we have re-cast the classical diet selection problem using a two-stage approach whereby in the fi rst stage the dietician decides on the total number of least-cost combinations which satisfy the nutritional requirements and in the second stage, the dietician finds the optimal number of diet plans that have to be formulated. The second stage basically involves finding a reduced search space n* out of which the dietician …
Enhancing The Corporate Performance Through System Dynamics Modelling, Mridula Sahay, Kuldeep Kumar
Enhancing The Corporate Performance Through System Dynamics Modelling, Mridula Sahay, Kuldeep Kumar
Kuldeep Kumar
The aim of the current study is to improve the performance of corporate through application of System Dynamics (SD) methodology. The paper discusses the importance of system dynamics modelling in enhancing corporate performance and how it shows the dynamic behaviour of the system. For this purpose a system dynamics model for an Indian Steel company has been prepared. The paper also covers a brief introduction of the system dynamics modelling, a brief narration of Steel Sector and the process adopted in modelling. Some of the important corporate performance parameters such as market share, revenue, employee’s strength, number of shareholders, installed …
Decision-Making In Economics: Critical Lessons From Neurobiology, Renato Alas, Kuldeep Kumar, Avik Mukherjee, Munirul Nabin, Sukanto Bhattacharya
Decision-Making In Economics: Critical Lessons From Neurobiology, Renato Alas, Kuldeep Kumar, Avik Mukherjee, Munirul Nabin, Sukanto Bhattacharya
Kuldeep Kumar
In this chapter, the authors consider some of the issues regarding the rational choice decision framework in neoclassical economics and how it can particularly be found wanting in the absence of due consideration for some of the underlying critical neurobiological factors which govern decision making. They develop a critical decision problem and explore the scenario where the solution predicted by formal economic theory may be in conflict with the decision that actually occurs. Such conflict is especially relevant in the context of economic decision making in emerging markets where there can be a lack of trust in the system by …
Financial Statement Fraud Detection And Possible Link To Company Failure, Adrian Gepp, Kuldeep Kumar, Sukanto Bhattacharya
Financial Statement Fraud Detection And Possible Link To Company Failure, Adrian Gepp, Kuldeep Kumar, Sukanto Bhattacharya
Kuldeep Kumar
No abstract provided.
A Game Theoretic Approach For Optimum Strategy In Life, Sat Gupta, Kuldeep Kumar
A Game Theoretic Approach For Optimum Strategy In Life, Sat Gupta, Kuldeep Kumar
Kuldeep Kumar
Game theory presupposes that there are at least two players with conflicting interests and the outcome of the game depends on the decisions of all the players, while the decision theory presumes that the decision of only one agent affects the outcome because the decision maker (group or individual) has to reckon with only a passive environment (i.e. he has no opponent). In this study we treat life as a game with the human being on one side and the Nature (not the passive environment) on the other. Using the results of the game theory, it is shown that an …
An Integrated Education Planning Model For Strategic Decisions Using System Dynamics, Mridula Sahay, Kuldeep Kumar
An Integrated Education Planning Model For Strategic Decisions Using System Dynamics, Mridula Sahay, Kuldeep Kumar
Kuldeep Kumar
Extract
Education has great social significance. No country can develop without providing quality education to their country man. As it plays a major role in improving economic opportunities for people and enhancing their quality of life by building capabilities, skill levels and providing more productive employment.
This paper aims to provide an integrated model for education planning combining all the levels of education (primary and junior school level, high school level, degree and PG level, professional level) for strategic decision using system dynamics methodology for educational growth.
Role Of Teaching Ethics In Higher Education, Sanjay Mishra, Kuldeep Kumar
Role Of Teaching Ethics In Higher Education, Sanjay Mishra, Kuldeep Kumar
Kuldeep Kumar
ExtractIn view of the increasing number of frauds, scandals and other malpractices being committed in various disciplines all over the world teaching of ethical values has become important to all students especially professional students. Targeting this in view many universities in Australia and the USA have made teaching of ethics as compulsory subject at the under graduate level. India is also following this lead and awareness of teaching ethics as a subject is gaining momentum. In this paper we have outlined how ethics can be taught as a compulsory subject as well as how we can incorporate teaching of ethical …
Total Quality Management In Higher Education, Mridula Sahay, Kuldeep Kumar
Total Quality Management In Higher Education, Mridula Sahay, Kuldeep Kumar
Kuldeep Kumar
Extract: Remarkable increases in the field of higher education in absence of concentrated continuing effort on improving and maintaining its total quality is not reaping the best. Here, reaping the best connotes to the basic purpose of which higher education imparted is to put their knowledge in practice either to increase the performance or to bring out innovative transformation for their research. This becomes possible only when the higher education imparted with the best possible quality in all aspects such as fundamentals, synthesis and application orientation with associated environmental understanding with its causal relations and various factors.
A Brief Review Of Recent Research Trends On Applications Of Computational And Statistical Techniques In Financial & Business Intelligence, Kuldeep Kumar, Sukanto Bhattacharya
A Brief Review Of Recent Research Trends On Applications Of Computational And Statistical Techniques In Financial & Business Intelligence, Kuldeep Kumar, Sukanto Bhattacharya
Kuldeep Kumar
Artificial neural networks and statistical techniques like decision trees,discriminant analysis, logistic regression and survival analysis play a crucial role in Business Intelligence. These predictive analytical tools exploit patterns found in historical data to make predictions about future events. In this paper we have shown some recent developments of a few of these techniques in financial and business intelligence applications like fraud detection, bankruptcy prediction and credit rating scoring.
An Ann-Based Auditor Decision Support System Using Benford's Law, Sukanto Bhattacharya, Dongming Xu, Kuldeep Kumar
An Ann-Based Auditor Decision Support System Using Benford's Law, Sukanto Bhattacharya, Dongming Xu, Kuldeep Kumar
Kuldeep Kumar
While there is a growing professional interest on the application of Benford's law and 'digit analysis' in financial fraud detection, there has been relatively little academic research to demonstrate its efficacy as a decision support tool in the context of an analytical review procedure pertaining to a financial audit. We conduct a numerical study using a genetically optimized artificial neural network. Building on an earlier work by others of a similar nature, we assess the benefits of Benford's law as a useful classifier in segregating naturally occurring (i.e. non-concocted) numbers from those that are made up. Alongside the frequency of …
Computational Exploration Of The Biological Basis Of Black-Scholes Expected Utility Function, Sukanto Bhattacharya, Kuldeep Kumar
Computational Exploration Of The Biological Basis Of Black-Scholes Expected Utility Function, Sukanto Bhattacharya, Kuldeep Kumar
Kuldeep Kumar
It has often been argued that there exists an underlying biological basis of utility functions. Taking this line of argument a step further in this paper, we have aimed to computationally demonstrate the biological basis of the Black-Scholes functional form as applied to classical option pricing and hedging theory. The evolutionary optimality of the classical Black-Scholes function has been computationally established by means of a haploid genetic algorithm model. The objective was to minimize the dynamic hedging error for a portfolio of assets that is built to replicate the payoff from a European multi-asset option. The functional form that is …
Business Failure Prediction Using Decision Trees, Adrian Gepp, Kuldeep Kumar, Sukanto Bhattacharya
Business Failure Prediction Using Decision Trees, Adrian Gepp, Kuldeep Kumar, Sukanto Bhattacharya
Kuldeep Kumar
Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the recent past. Consequently, a significant interest has been generated in business failure prediction within academia as well as in the finance industry. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have traditionally been the most popular approaches, but there are also a range of promising non-parametric techniques that can alternatively be applied. In …
Modelling The Glitter In Gold, Kuldeep Kumar, Gulasekaran Rajaguru, Samir Shrivastava
Modelling The Glitter In Gold, Kuldeep Kumar, Gulasekaran Rajaguru, Samir Shrivastava
Kuldeep Kumar
Academics have found it particularly challenging to develop parsimonious models that can accurately model and forecast gold price. One of the reasons could be the complex nature of gold market fundamentals. Arguing that the key to forecasting gold prices lies in analyzing the factors that generate investment demand (as opposed to gold supply and fabrication demand), we empirically validate a model that factors in consumer sentiments, interest rates, returns on stock market, and oil prices. Our findings indicate that although gold price has significant correlation with all these four variables, interest rate and consumer sentiments are only significant predictors of …
Forensic Accounting And Benford's Law, Sukanto Bhattacharya, Kuldeep Kumar
Forensic Accounting And Benford's Law, Sukanto Bhattacharya, Kuldeep Kumar
Kuldeep Kumar
Discusses how forensic accounting can use Benford's Law (BL) to detect financial fraud.
The Role Of Survival Analysis In Financial Distress Prediction, Adrian Gepp, Kuldeep Kumar
The Role Of Survival Analysis In Financial Distress Prediction, Adrian Gepp, Kuldeep Kumar
Kuldeep Kumar
Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, there has been a significant increase in interest in business failure prediction from both industry and academia. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have been the most popular approaches, but there are also a large number …
A Computational Exploration Of The Efficacy Of Fibonacci Sequences In Technical Analysis And Trading, Sukanto Bhattacharya, Kuldeep Kumar
A Computational Exploration Of The Efficacy Of Fibonacci Sequences In Technical Analysis And Trading, Sukanto Bhattacharya, Kuldeep Kumar
Kuldeep Kumar
Among the vast assemblage of technical analysis tools, the ones based on Fibonacci recurrences in asset prices are relatively more scientific. In this paper, we review some of the popular technical analysis methodologies based on Fibonacci sequences and also advance a theoretical rationale as to why security prices may be seen to follow such sequences. We also analyze market data for an indicative empirical validation of the efficacy or otherwise of such sequences in predicting critical security price retracements that may be useful in constructing automated trading systems. © 2006 Peking University Press
Forecasting Credit Ratings Using An Ann And Statistical Techniques, Kuldeep Kumar, John Haynes
Forecasting Credit Ratings Using An Ann And Statistical Techniques, Kuldeep Kumar, John Haynes
Kuldeep Kumar
In a liberal environment the conceptual importance of credit rating has increased significantly. The objective of this study is to explore and find out the effect of the financial performance data of a firm relative to the credit rating of a debt issue of that firm. The study also proposes to capture the relationship, if any, between financial performance data and credit rating given by experts in an appropriate model. Financial data relevant to debt issue ratings are obtained from the publications of a premier credit rating agency in India. Data analysis involved the building of a model using conventional …