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  <title>DSpace Collection:</title>
  <link rel="alternate" href="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6022" />
  <subtitle />
  <id>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6022</id>
  <updated>2026-04-26T01:49:01Z</updated>
  <dc:date>2026-04-26T01:49:01Z</dc:date>
  <entry>
    <title>Stock Market Volatility in the Post Recession – A Study on Extreme Volatility Estimators</title>
    <link rel="alternate" href="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6030" />
    <author>
      <name>Kumar, Kompalli Sasi</name>
    </author>
    <id>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6030</id>
    <updated>2021-06-11T04:29:08Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: Stock Market Volatility in the Post Recession – A Study on Extreme Volatility Estimators
Authors: Kumar, Kompalli Sasi
Abstract: Volatility is the measure of risk associated with the financial instruments.&#xD;
Volatility of a financial instrument can be understood either by using&#xD;
historical volatility measures or by using implied volatility measures. In&#xD;
the present study NSE-NIFTY listed stocks are selected for the purpose of&#xD;
understanding the volatility of select stocks in the post-recession period,&#xD;
using historical volatility estimators. Nearly 25 stocks are selected from&#xD;
NSE-NIFTY on a random basis for a period of five years i.e. 2009-2014 on&#xD;
a daily basis. Historical volatility levels of these companies are computed&#xD;
using classical, range-based and drift independent volatility measures.&#xD;
The volatility was analyzed using extreme value volatility estimators&#xD;
namely, Garman Klass estimator, the Parkinson estimator, the Rogers&#xD;
Satchell estimator and the Yang and Zhang estimator. One of the major&#xD;
finding in the study that recession affected the financial markets in the year&#xD;
2008, but more deviations in the stock prices are observed in the year&#xD;
2010, during recovery stage of recession, it may be due to the ambiguity&#xD;
presented in the financial markets across the world. The study also observed&#xD;
that stocks like Bharati Airtel, HCL Technologies, Ruchi Soya Industries,&#xD;
Reliance Communication and Union Bank of India exhibited high volatility&#xD;
during the study period, whereas the stocks like TCS, Infosys and HDFC&#xD;
are stagnant during the study period</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Influence of GDP Growth Rate on FDI Inflows in the Post-Liberalized Indian Economy</title>
    <link rel="alternate" href="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6029" />
    <author>
      <name>Mandal, Pankaj Kumar</name>
    </author>
    <id>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6029</id>
    <updated>2021-06-11T04:26:52Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: Influence of GDP Growth Rate on FDI Inflows in the Post-Liberalized Indian Economy
Authors: Mandal, Pankaj Kumar
Abstract: Empirical studies uphold GDP growth rate as one of the determinant factors&#xD;
of FDI inflows. United Nations Conference on Trade and Development&#xD;
(UNCTAD) in its World Investment Report 2002 and 2012 identified Real&#xD;
GDP growth and GDP per capita of the host country as crucial factors that&#xD;
attract inward FDI. It is evident that the developed economies having high&#xD;
GDP figures receive the major part of world FDI flows. It is also observed&#xD;
that the countries where the growth rate is comparatively high enjoy good&#xD;
flows of inward FDI.&#xD;
India experienced a smart growth of GDP during the post-liberalized period&#xD;
but the growth has not found any consistency so far. The present study is&#xD;
intended to find whether the sluggish growth trend of Indian economy in&#xD;
the present decade influences the country’s inward FDI flows negatively or&#xD;
not. The study finally finds that the GDP growth rate alone fails to determine&#xD;
the FDI inflows in India in the post-liberalized period</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Service Quality Management: A Comparative Study on Perception of Managerial and Non-Managerial Staff of Banks</title>
    <link rel="alternate" href="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6028" />
    <author>
      <name>Panigrahi, Kalpana</name>
    </author>
    <id>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6028</id>
    <updated>2021-06-11T04:23:57Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: Service Quality Management: A Comparative Study on Perception of Managerial and Non-Managerial Staff of Banks
Authors: Panigrahi, Kalpana
Abstract: In present competitive scenario service quality management (SQM) is the&#xD;
prime concern of banks. The present paper is the outcome of an empirical&#xD;
research conducted with the objective to study service quality management&#xD;
initiatives in the public sector banks (PSBs) of Odisha, a state of India. In&#xD;
21st century delivering superior service quality has become the prerequisite&#xD;
for the success of Indian banks due to liberalization and globalization. The&#xD;
banks are now have to be of world class in standard for survival, committed&#xD;
to excellence in customers, shareholders and employees satisfaction, and to&#xD;
play a leading role in the expanding and diversifying financial sector by&#xD;
reaching the bottom line. Now ‘Quality’ is a buzz word in the marketers’&#xD;
dictionary. Poor quality places a firm at a relatively competitive disadvantage&#xD;
position. Thus the purpose of the present research is to compare the&#xD;
perceptions both managerial and non managerial staff on SQM of banks.</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Impact of Gender Development Index on Human Development Index and Gross Domestic Product Per Capita</title>
    <link rel="alternate" href="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6027" />
    <author>
      <name>Bhowmik, Debesh</name>
    </author>
    <id>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6027</id>
    <updated>2021-06-11T02:45:27Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: Impact of Gender Development Index on Human Development Index and Gross Domestic Product Per Capita
Authors: Bhowmik, Debesh
Abstract: In this paper, author wishes to find out the relationship among the Gender&#xD;
Development Index, Human Development Index and the Gross Domestic&#xD;
Product per capita of the 12 developed countries during 1990-2015 with&#xD;
the help of econometric models such as fixed effect panel regression, Fisher Johansen panel co-integration, panel vector error correction model and&#xD;
Wald test. The paper concludes that one per cent increase in GDI per year&#xD;
led to 0.1143% increase in GDP per capita and 0.0191% increase in HDI&#xD;
per year significantly during 1990-2015 which were found by fixed effect&#xD;
panel regression. Fisher-Johansen panel co-integration test confirms that&#xD;
there is one co-integrating equation among GDP per capita, HDI and GDI&#xD;
during the survey period. The co-integrating equation tends to equilibrium&#xD;
which indicates that there is long run association among them. From the&#xD;
System equation of VECM it was verified that there are long run causalities&#xD;
running from HDI and GDP per capita to GDI. Error correction process&#xD;
showed that the speed of adjustment is 95.25% per year which is significant.&#xD;
The Wald test shows that there are no short causalities running from HDI&#xD;
and GDP per capita to GDI and vice versa but there is short run causality&#xD;
running from HDI to GDP per capita. Over all, the VECM is stable, non stationary, non-normal and serially correlated.</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
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