Refine your search
Collections
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Arora, Neha
- Bull and Bear Phases:An Empirical Perusal of Indian Stock Market
Abstract Views :177 |
PDF Views:0
Authors
Affiliations
1 Department of Commerce, Delhi School of Economics, University of Delhi, IN
2 Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, IN
1 Department of Commerce, Delhi School of Economics, University of Delhi, IN
2 Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, IN
Source
International Journal of Financial Management, Vol 6, No 2 (2016), Pagination: 11-24Abstract
In general, any one known to stock market is acquainted with the phenomenon of bull and bear phases, but whether the traders or investors put air to these phases while making a decision to buy, sell, or stay invested. The present paper attempts to identify and analyse the two most popular market phases, i.e. bull and bear, for better investment decisions with the use of Bry and Boschan Algorithm and time series data. Further, it seeks to analyse the distributional characteristics of the variances in stock returns and search evidence of asymmetries, if any, in volatility under different market conditions which may help to shed light on the bull and bear phases of Indian equity market. The study arrange for evidence that in bull markets, stock prices run far ahead of earnings and for fairly long periods of time. The paper indicates 12 bull and bear phases in the Sensex and Nifty during the sample period of 19 years with the associated factors responsible for the shift of bull and bear market phases. The results provide considerable support for the view that markets choose to ignore adverse possibilities and react with zest to favourable possibilities and market declines can partly be explained by increases in risk.Keywords
Bull Market, Bear Market, Volatility, Bry and Boschan Algorithm.- Sustainability makes Business Sense: Analysis of Carbon Credit Market and Environmental Index Greenex
Abstract Views :206 |
PDF Views:82
Authors
Affiliations
1 Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, IN
1 Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, IN
Source
FOCUS : Journal of International Business, Vol 2, No 1 (2015), Pagination: 89-98Abstract
Global Warming is one of the most severe problems the world is facing today. This has resulted due to emissions of Carbon dioxide and Green House Gases (GHGs) from various anthropogenic activities. India is faced with the challenge of sustaining its rapid economic growth while dealing with the adverse consequences of climate change. Serious efforts are required to address the high carbon growth trajectory and mitigate the climate change risks. Indian Corporate sector is the major contributor to the Indian economy. However, these industries generate pollution because of outdated technologies, high waste generation and other economic factors. Leading Sectors such as cement, sugar, paper, iron and steel, power contribute more to the carbon emissions as compared to the IT and Banking sector. Therefore, the corporate sector should integrate sustainability into their business goals to mitigate the risks of climate change. They should invest in clean and renewable energy, adopt sustainable and energy efficient practices which would in return help them to generate revenue from sale of credits and get screened by their carbon performance to the Environmental Index Greenex.Keywords
Carbon Credit, Greenex, Sustainability, Global Warming.- India’s New Stance on Global Warming
Abstract Views :247 |
PDF Views:68
Authors
Affiliations
1 Department of Commerce, Delhi School of Economics, University of Delhi, IN
1 Department of Commerce, Delhi School of Economics, University of Delhi, IN
Source
FOCUS : Journal of International Business, Vol 3, No 1 (2016), Pagination: 78-88Abstract
India ratified the United Nations Framework Convention on Climate Change (UNFCCC) in November, 1993 and is a non-Annex party to the UNFCCC. Accordingly, as a Non Annex Party, India is not liable to legally reduce its Greenhouse gases under the convention. However India has taken a responsible stance towards Global warming and Climate change. Recent measures and developments at the governmental front and initiatives undertaken by the private sector have paved the way for sustainable development. The present paper studies the recent financial and market based mechanisms and the underlying policy environment for low carbon development in India undertaken by Indian government and the Indian corporate sector. The various policy mechanisms initiated include the Coal Cess, Carbon tax, Issuance of Masala bonds and Subsidies on solar enabled appliances. The Indian corporate sector has attracted commendable admiration by the Global leaders owing to the integration of sustainability into business activities. The issuance of Green bonds, voluntary GHG emissions disclosure in the Carbon Disclosure Project Report and establishment of Greenex are the various recent sustainable steps taken by industry leaders to fight global warming.Keywords
Green Bonds, Greenex, Coal Cess, Carbon Tax, Masala Bonds.References
- Accenture Strategy. (2015). CDP Climate Change Report, India Edition. Accessed online at: https://www.cdp.net/CDPResults/CDP-India-climate-change-report-2015.pdf
- Brunnermeier., Smita. & Cohen. (2003). Determinants of environmental innovations in US manufacturing industries. Journal of Environmental Economics and Management. 45: 278-293.
- Government of India (2014). Planning Commission. The Final Report of the Expert Group on Low Carbon Strategies for Inclusive Growth. (Accessed online at: http://planningcommission.nic.in/reports/genrep/rep_carbon2005.pdf)
- Government of India. (2014-15). Economic Survey of India. 2014-2015, Vol 1.
- Morgan Stanley, Institute for Sustainable investing. (2015). Sustainable Signals, The individual investor perspective. Accessed online at: https://www.morganstanley.com/sustainableinvesting/pdf/Sustainable_Signals.pdf
- United Nations. (1992). United Nations Convention on Climate Change. As per the draft negotiating text for COP 21. Accessed online at: (http://unfccc.int/resource/docs/2014/cop20/eng/10a01.pdf#page=2).
- World Businesss Council for Sustainable Investment. (2010). Vision 2050: The New Agenda for Business.
- Interference Free Window (IFW) in Las Cdma System and Comparison with Traditional CDMA
Abstract Views :120 |
PDF Views:0
Authors
Affiliations
1 Department of ECE, HCTM, Kaithal, IN
1 Department of ECE, HCTM, Kaithal, IN
Source
International Journal of Engineering Research, Vol 4, No 3 (2015), Pagination: 130-132Abstract
Large area synchronous code-division multiple access (LAS-CDMA) is a proposed fourth generation cellular standard. The feature that distinguishes LAS-CDMA from traditional CDMA is the new set of codes used to separate users. LAS code has zero cross-correlation in the "Zero Interference Window" and has only an impulse auto-correlation in the "Zero Interference Window". These excellent features of the technique help to eliminate interference and give better performance.Keywords
LA Code, LS Code, Auto-Correlation, Cross-Correlation, IFW.- Performance of LAS-CDMA System
Abstract Views :65 |
PDF Views:0
Authors
Affiliations
1 Department of ECE, HCTM, Kaithal, IN
2 Department of ECE, P.I.E.T., Panipat, IN
1 Department of ECE, HCTM, Kaithal, IN
2 Department of ECE, P.I.E.T., Panipat, IN
Source
International Journal of Scientific Engineering and Technology, Vol 3, No 7 (2014), Pagination: 921-924Abstract
Reducing interference in a cellular system is the most effective approach to increase radio capacity and transmission data rate in the wireless environment. Therefore reducing interference is a difficult and important challenge in wireless communications. Large area synchronous code-division multiple access (LAS-CDMA) is a proposed fourth generation cellular standard. Similar to cdma2000, the distinguishing feature of LAS-CDMA is the new set of spreading codes used to separate users in the wireless channel.Keywords
LA Code, LS Code, IFW, Auto-Correlation, Cross-Correlation.- Regional Growth Differentialsin Indian Manufacturing Sector: A Convergence Analysis
Abstract Views :266 |
PDF Views:0
Authors
Affiliations
1 Mata Ganga Girls College, Tarn Taran 143401, Punjab, IN
2 Punjab School of Economics, Guru Nanak Dev University, Amritsar 143005, Punjab, IN
1 Mata Ganga Girls College, Tarn Taran 143401, Punjab, IN
2 Punjab School of Economics, Guru Nanak Dev University, Amritsar 143005, Punjab, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 62, No 3 (2020), Pagination: 239-256Abstract
The paper examines the efficiency variations as well as the convergence analysis of efficiency levels in Indian manufacturing sector during pre- and post-reforms period spanning from 1980/81 to 2014/15. Using non- parametric approach of data envelopment analysis (DEA), the mean scores of technical efficiency (TE) as well as scale efficiency (SE) have been computed for sixteen major Indian states. Results of the study revealed an average efficiency (inefficiency) to the tune of 76 per cent (24 per cent) in Indian manufacturing sector as a whole. Further, the decomposition analysis of technical inefficiency into pure technical inefficiency (PTE) and scale inefficiency (SE) revealed pure technical inefficiency (also known as managerial inefficiency) as the dominant source of overall technical inefficiency inthese states. In case of convergence analysis, results of the study confirm the presence of convergence during pre-reforms period only, which totally disappeared during the post-reforms period. It implies that the phenomenon of “learning by doing” is almost missing in these manufacturing states. Further, the analysis reveals that the process of economic reforms has failed to render a positive impact to narrow down the inequalities or improving the efficiency of Indian manufacturing sector.References
- Adabar (2004), Convergence of Standards ofLiving Across Indian States, Working Paper 153, Institute for Social and Economic Change, Bangalore.
- Arora, N. (2013), Testing of Technical Efficiency Catching-up in Indian Sugar Industry: A Longitudinal Analysis of SugarProducing States,Atlantic Review of Economics, 12: 96-121.
- Barro, R. (1991), Economic Growth in a Cross-Section of Countries, Quarterly Journal of Economics, 106(2): 407-443.
- Barro, R.J. and X. Sala-i-Martin (1991), Convergence Across States and Regions, Brookings Papers on Economic Activity, 1, 107-58.
- ---------- (1992), Convergence, Journal of Political Economy, 100(2): 223-251.
- ---------- (1995), Economic Growth, New York: McGraw-Hill.
- Baumol, W.J. (1986), ProductivityGrowth, Convergence, and Welfare: What the Long Run Data Show, American Economic Review, 76(5): 1072-1085.
- Bernard, A.B. and Charles I. Jones (1996a), Comparing Apples toOranges: Productivity Convergence and Measurement across Industries and Countries, American Economic Review, 86: 1216-1238.
- ---------- (1996b), Productivity across Industries and Countries: Time Series Theory and Evidence, Review of Economics and Statistics, 78: 135-146.
- Charnes, A., W.W. Cooper and E.Rhodes (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2(6): 429-444, November.
- Coelli, T.J. (1996), A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program, CEPA Working Paper 08/96, Department Of Econometrics, University of England, Armidale.
- Fung, M.K. (2006), Scale Economies, X-efficiency and Convergence of Productivity among Bank Holding Companies, Journal of Banking and Finance, 30(1): 2857-2874.
- Ghosh, M. (2008), Economic Reforms, Growth and Regional Divergence in India, Margin, 2(3): 265-285.
- Kalirajan, K.P., R.T. Shand andS. Bhide (2000), Economic Reforms and Convergence of Incomes across Indian States: Benefits for the Poor, in: S. Gangopadhya and W. Wadhwa (Eds.) Economic Reforms for the Poor, Konark Publishers, New Delhi.
- Koski, H.J. and S.K. Majumdar (2000), Convergence in Telecommunications Infrastructure Development in OECD Countries, Information Economics and Policy, 12(1): 111-131.
- Kumar, S. (2003), Inter-Temporaland Inter-State Comparison of Total Factor Productivity in Indian Manufacturing Sector: An Integrated Growth Accounting Approach, Artha Vijnana, 45(3-4): 161-184.
- Kumar, S. and N. Arora (2007), Technical and Scale Efficiency in Indian Manufacturing Sector: A Cross-sectional Analysis Using Deterministic Frontier Approach, The Asian Economic Review, 49(3): 433- 458.
- Kumar, S. and R. Gulati (2008), Did Efficiency of Indian PublicSector Banks Converge with Banking reforms?, International Review of Economics,56(1): 47-84.
- Lewin, A.Y. and L.M. Seiford (1997), Extending the Frontiers ofData Envelopment Analysis, Annals of Operations Research, 73:1-11.
- Marjit, S. and S. Mitra (1996),Convergence in Regional Growth Rates: Indian Research Agenda, Economic and Political Weekly, 31:2239-2242.
- Mukherjee, K. and Subhash C. Ray (2004), Technical Efficiency and its Dynamics in Indian Manufacturing: An Inter-state Analysis, University of Connecticut, Economics Working Paper Series, 18, USA.
- Rao, M.G, R.T. Shand and K.P. Kailrajan (1999), Convergence of Incomes across Indian States, Economic and Political Weekly, 34: 769-778.
- Rath, Badri Narayan and S. Madheswaran (2010), Did ProductivityConverge in Manufacturing Sector across Indian States?, Regional and Sectoral EconomicStudies, Euro-American Association of Economic Development, 10(2): 185-200.
- Sala-i-Martin, X.X. (1996), The Classical Approach to Convergence Analysis, The Economic Journal, 106(437): 1019-1036.
- Thirtle, C., J. Piesse, A. Lusigi and K. Suhariyanto (2003), Multi-Factor Agricultural Productivity, Efficiency and Convergence in Botswana: 1981-9, Journal of Development Economics, 71(1): 605-624.
- Trivedi, P. (2004), An Inter-State Perspective on ManufacturingProductivity in India: 1980-81 to 2000 01, Indian Economic Review, 39(1): 203-237.
- Veermani, C. and B. Goldar (2004), Investment Climate and TFP in Manufacturing: Analysis of Indian States, Working Paper No. 127, International Council for Research on International Economic Relations, New Delhi.