Limitations of Ratio Analysis

Ratio analysis is useful, but analysts should be aware of these problems and make adjustments as necessary. Ratios analysis conducted in a mechanical, unthinking manner is dangerous, but if used intelligently and with good judgement, it can provide useful insights into the firm’s operations. Limitations of Ratio Analysis 1. Accounting Information Different Accounting Policies The choices of accounting policies may distort inter company comparisons. Example IAS 16 allows valuation of assets to be based on either revalued amount or at depreciated historical cost. The business may opt not to revalue its asset because by doing so the depreciation charge is going to be high and will result in lower profit. Creative accounting   The businesses apply creative accounting in trying to show the better financial performance or position which can be misleading to the users of financial accounting. Like the IAS 16 mentioned above, requires that if an asset is Continue reading

Variable Cash Reserve Ratio and Credit Control

Considering the limitations of the bank rate policy and the open market operations, the need to develop a very effective method of credit control was felt. Especially  the need was to directly control the power of the commercial banks to create credit, Variable cash reserve ratio was suggested as one more method of quantitative credit control by Keynes. Further this method is considered necessary for promoting the overall liquidity and solvency of the banking system, apart from improving the public confidence on the banking system. The process of working of this method of credit control can be easily understood with an example. Suppose in an economy there is over expansion of credit which is possible with excessive cash reserves with the commercial banks. To check this, the central bank may raise the cash reserve ratio say from 20% to 25% Then this will bring down the availability of cash reserve Continue reading

Technology Management Framework – Gregory’s Five-Process Model

The Gregory’s five-process frame work is an important technology management model, which has been proposed in 1995 by M. J. Gregory. This process has been built based on previous work on technology management. There are several elements have been identified previously link to the technology management within organizations. Competence and capability are important to be analyzed within the organization to understand the strength and weakness. They also reflect how well the organization can satisfy the customers and how fast the organization may response the market. According to this analysis, the company can identify the suitable technology strategy. Organization learning is also widely used concept in technology management. R&D development and new product introduction are the processes which technology is applied in. Innovation activities are taken to deliver the customer satisfaction. However, there is no agreed framework for technology management has been proposed. Based on the literature research on previous work Continue reading

Committee on Indian Banking Sector Reforms: Narasimham Committee Report I & II

The banking sector reforms in India were started as a follow up measures of the economic liberalization and financial sector reforms in the country. The banking sector being the life line of the economy was treated with utmost importance in the financial sector reforms. The reforms were aimed at to make the Indian banking industry more competitive, versatile, efficient, productive, to follow international accounting standard and to free from the government’s control. The reforms in the banking industry started in the early 1990s have been continued till now.  The Narasimham Committee laid the foundation for the reformation of the Indian banking sector. Constituted in 1991, the Committee submitted two reports, in 1992 and 1998, which laid significant thrust on enhancing the efficiency and viability of the banking sector. The purpose of the Narasimham Committee I  was to study all aspects relating to the structure, organization, functions and procedures of the Continue reading

Inputs for Investment Portfolio Construction

Investment portfolio is a composition of investments with the purpose, of maximizing return and minimizing risk. What individual investments would constitute the composition depends, in the first place, on the goals of the investment portfolio. One of the goal of the investment portfolio is return maximization. To achieve this, a choice of individual investment securities for inclusion in the portfolio is made and the return and risk of such individual investment securities are relevant inputs for investment portfolio construction. Thus, portfolio goal and return and risk of individual securities included in the portfolio are the inputs for investment portfolio construction. Read More: Portfolio investment process Portfolio construction phase in investment portfolio management Portfolio performance evaluation in investment portfolio management Portfolio selection and revision in investment portfolio management Portfolio analysis in investment portfolio management Security analysis phase in investment portfolio management Investment Portfolio Goals As investors differ like cornflakes, their portfolio Continue reading

Manufacturing Resource Planning Models

Evolution of Manufacturing Environment The field of production planning and control has undergone tremendous change in the last 50 years. Prior to the 1960s, inventory was controlled by a manual system, utilizing various techniques: stock replenishment, reorder points, EOQ (economic order quantity), and ABC classifications, to name a few. By the mid-1970s, enough experience of material requirements planning (MRP) had been gained and the importance of the master production schedule (MPS) was realized. In the 1950s, MRP was the first off-the-shelf business application to support the creation and maintenance of material master data and bill-of-materials across all products and parts in one or more plants. These early packages were able to process mass data but only with limited processing depth. From the 1940s to the early 1960s, material control consisted of basic ‘order point’ formulae used to maintain a level average inventory balance. In 1965, Joseph Orlicky of the J. Continue reading