LIQUDITY MEASURES OF INDIAN CORPORATE BOND MARKET

The aim of the paper is to examine the liquidity of corporate debt market in India through the trade based liquidity measures covering a period of five years viz. 2009-10 to 2013-14. Trade size, Trade volume, Rupee volume and Trading frequency are used as the liquidity measures. The study concludes that the performance of all the variables of trade-based liquidity measures is good. Trading volume, rupee volume and trading frequency have performed well. These all have an increasing trend during the mentioned period while trade size has shown a decreasing trend. The increasing trend of all the three variables depict that the liquidity of the Indian corporate debt market is increasing year by year. The result of correlation analysis showed that Trade size has negative correlation with all the variables but also have significant correlation with trading frequency and trade volume. While trading frequency, trade volume and rupee volume has positive and significant correlation with each other which indicates that these variables are the good proxy variables under the trade based liquidity measures.

APPLICATIONS OF DATA MINING TECHNIQUES: EMPOWERING QUALITY HEALTHCARE SERVICES

Healthcare is an information-intensive sector. The need to develop and organize new ways of providing healthcare information, data and knowledge has been attended by major advances in information and communication technologies. These new technologies are speeding an exchange and use of data, information and knowledge and are eliminating geographical and time barriers. These processes highly accelerated medical informatics development. Nowadays medical informatics shows its significance as a multidisciplinary science developed on the basis of interaction of information sciences with medicine and health care in accordance with the attained level of information technology [1]. Todays healthcare environments use electronic health records that are shared between computer systems and which may be distributed over many locations and between organizations, in order to provide information to internal users, to payers and to respond to external requests. With increasing mobility of population, patient data is accumulating in different places, but it needs to be accessible in an organized manner on a national and even global scale. This paper presents a systematic approach of data mining techniques in healthcare industry and a survey of current techniques of knowledge discovery in databases using data mining techniques that are in use today in medical research and healthcare sectors. This paper also focuses on some critical issues and challenges associated with the application of data mining in the profession of healthcare practices.