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A Study on Green Marketing Practices in India
R. Mayakkannan
Pages: 1-5 | First Published: 05 Apr 2019
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Abstract
Today the sector has emerged as the first degree, and we are shifting ahead with the common motive of shielding the surroundings and attaining sustainable improvement. The new marketing philosophy is getting stronger some of the hundreds, and this mindset of the clients has forced the enterprise fraternity to rethink and plan their techniques to do their businesses in a more revolutionary and environmentally pleasant way. This paper targeted some critiques of green marketing and advertising, idea, new green projects in India and unique advertising blend. This paper moreover highlighted the destiny prospects of Green marketing in India.
Keywords: Green Marketing- Practices- Marketing Mix.

1) Gupta, S., & Ogden, D.T. (2018). To buy or not to buy? A social dilemma perspective on green buying. Journal of consumer marketing, 26(6), 376-391.
2) Kim, H.Y., & Chung, J.E (2017). Consumer purchase intention for organic personal care products. Journal of consumer marketing. 28(1) 40-47.
3) Park, J., & Ha, S. (2016). Understanding pro-environmental behaviour. A comparision of sustainable consumers and apathetic consumers. International Journal of Retail & Distribution Management 40(5), 388-403.

Impact of Micro Finance on Poverty Alleviation with special reference to Selected Rural Area at Karnataka
Rabina Eajaz
Pages: 6-10 | First Published: 05 Apr 2019
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Abstract
Microfinance deals a non-technical overview to the wide arrangement of whole financial and non-financial services of the world's poor. Micro finance programs for alleviating poverty in Karnataka. As a developing county, poverty is serious problems of Karnataka. Government and Non-Government Organization of the country are lunching poverty alleviation progammes in the country. . The result of the study showing that there is bordering influence of microfinance organizations just before the growth in the welfare of the households.
KEYWORDS: Microfinance, poverty, organization.

1) B. Vijaya1 and Murugesh. T. M,(2014). “Performance of SHGs Bank Linkage Programme in Gulbarga District of Karnataka “Tactful Management Research Journal.
2) Kallur, M.S. (2001).Empowerment of Women through NGOs: A Case Study of MYRADA Self-Help Groups of Chincholi Project, Gulbarga District, Karnataka State, Indian Journal of Agriculture Economics, 56(3),465.

Mergers and Acquisitions - A Major Prospect for Business Sustainability
S.Selvi
Pages: 11-17 | First Published: 05 Apr 2019
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Abstract
Mergers and Acquisitions have emerged as a major force for developing financial and economic environment due to increased market competition both in national and international market, excessive interdependence of companies for different products and services etc. The entire business world is looking forward towards sustainable growth and development. Sustainability issues are gaining ground in terms of business transactions due to the combined efforts of the merged business undertakings. The primary objective for this research paper is to evaluate the impact of mergers and acquisition of the companies sector wise and to identify the factors affecting mergers and acquisition of companies in current scenario. For this purpose, researcher has analyzed the mergers and acquisitions in five different sectors by allowing for both pre and post business position of the amalgamated companies. Records are basically collected from secondary sources and compiled for an effective presentation.
Keywords: Mergers and Acquisition, Sustainability, Earnings per Share, Price Earnings Ratio, Return on Asset, Return on Equity

1) K Seethapathi and GRK Murthy (2004). Mergers and Acquisition VOL. I. Nagarjuna hills, Hyderabad, India: ICFAI University Press.
2) K Seethapathi and GRK Murthy (2004). Mergers and Acquisition VOL. IV. Nagarjuna hills, Hyderabad, India: ICFAI University Press.
3) Shashi K. Gupta and Arun Mehra (2017). Financial Statement Analysis and Reporting.Noida, Uttar Pradesh, India: Kalyani Publishers.
4) Amish Bharatkumar Soni(2016), M&A in India and its impact on shareholders wealth, IOSR Journal of Business & Management, 18(16), ISSN:2278-487X
5) Bijay Gupta, Dr. Parimalendu Banerjee(2017), Impact of mergers and acquisition on financial performance-Evidence from selected companies in India, International Journal of Commerce and Management Research, ISBN-978-93-85895-57-9
6) Harpreet Singh Bedi(2010), M&A in India: An analytical study
7) Ms. Mani Arora and Mr. Anil Kumar(2012), A study on M&A-its impact on management and employees, The International Journal’s Research Journal of Economics and Business Studies, 1(5), ISSN:2251-1555
8) Dr. M.Yadagiri and M.Vijay Kumar(2017), Sectorwise Analysis of Mergers and Acquisitions in India, Abhinav National Monthly Refereed Journal of Research in Commerce and Management ,6(7), Online ISSN-2277-1166
9) Priya Bhalla(2014), M&A in India:A Sectoral Analysis, International Journal of Business and Economic Development,2(2)
10) Purvi Dipen Derashri and Dr. Hitesh Shukla(2014), Peer Reviewed International Journal,3(4), Online ISSN:2347-5587
11) Viral Upendra Bhai Pandya (2018), Mergers and Acquisition Trends- the Indian experience, International Journal of Business Administration ,9(1),ISSN:1923-4007.doi:10.5430/ijbav9nlp44
12) Jens Kengelbach, Georg Keienburg, Timo Schmid, Snoke Sievers, Ketil Gjerstad, Jesper Nielson and Decker Walker (2017). The 2017 Mergers and Acquisitions report: The technology takeover. Retrieved from https://www.bcg.com/en-in/publications/2017/corporate-development-finance-technology-digital-2017-m-and-a-report-technology-takeover.aspx 13) Merger and Acquisitions deal volume at 7 years high in 2017 with 1022 transactions. Retrieved from https://economictimes.indiatimes.com

Digital Banking - New Horizons in A Cash-Light India “Technology Transforms the Landscape of Banking”
D. Jayarama Reddy
Pages: 18-22 | First Published: 05 Apr 2019
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Abstract
Healthy and sound operations of banking business imperatively depends upon one strategic input is banking technology. Efficient financial intermediation in the context of overall development of economy and financial stability of banking sector is essentially resorts to adoption of the digital technology to transform results to rise of revenue, enhance of customer‟s service, minimise of cost structure and manage of enterprise risk ably. The macro-financial linkages and the micro-level sources are underlying the assets quality. Non-cash payments are set to overtake cash payments as digital transactions are growing exponentially. Digital Banking, a new horizon in a cash-light India through digital payments as faster and more inclusive services to the both micro-and-macro businesses is extremely important to monitor economic progress. Demonetization has revolutionised digital payments in India to drive adaption of adoption. Reach of payment services and increase of value proposition to meet the expectations of customers is the aim of digital payments. It provides as accurate services as possible for brining uniformity growth in the country. Popularise the schema of digital banking is the need of the hour.
Key words: Digital Age, Digital Banking, Digital Technology, Internet, and Mobile Banking.

The combination of high speeding of digital technology and free adaption of technological adoption have helped the banking and other financial institutions able to offer better financial products/services at lower costs to the customers in the market. Unbanked population in India has 230 million that still speaks about bare necessity of technological advancements in rendering the financial services. Technology as a biggest enabler and equalizer today, one-on-one connection in real time and creates massive new trend flows for the underserved or overlooked markets. Reserve Bank India equally has shown enthusiasm about promoting innovation and technology by continuance of the efforts to build up robust and secure digital payments and settlement system to achieve a less-cash society. A key interface issue of technology coupled with other technological advances merely made enablers but not drivers for shifting to the digital payment potentially. Banking is a complex business to deliver services through a multiple technological channel. The Government should popularise the digital payment system among the people including students through media and also protect the interests of customers by implementing a stringent Cyber Law. The challenge of security and ramifications including cyber-crimes of banking technology should the need of hour in today‟s digital payment by the means of card payment, electronic fund transfer, payment gateways, smart card, e- payment, mobile money wallet, etc.

Vagamon Tourism in Kerala- Its Impact on Economy and Environment
Emilda George
Pages: 23-31 | First Published: 05 Apr 2019
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Abstract
Development of tourism has been given a high priority in the economic development programmes of the country since 1980s. The state of Kerala, which is now stylized as „God‟s own Country‟ in the global tourist map, has also accorded it a major position in order to reorient its economic development utilizing its natural green environment. Accordingly, development of tourism in all its variety including "beach tourism", "back water tourism", "village tourism", "ecotourism", "adventure tourism", "monsoon tourism", "heritage tourism", etc., is being promoted in the state. The Vagamon region is largely rural comprising tea plantations, forests and grasslands. The present scenario is pathetically poignant. The naturally formed streams are being blocked and the sudden huge inflow of people in large and medium vehicles that ply on 2 the silken hills have disturbed the natural quiet, have shaken the soil, loosened the rocky structures and disturbed the entire ecology of the area .The objective of this paper is to analyze the economic and environmental impacts of Vagamon tourism and to suggest measures to protect the tourist spot. It also evolves a „sustainable developmental strategy‟ of tourism, focusing on the Kerala scenario. The methodology used is both primary and secondary. The local inhabitants of the place were interviewed as the preliminary step. - Data, information and facts projected in the mass media – books, journal, national newspaper, and national seminars as well as in the apex forums of India have been used to analyze the economic and environmental impact of Vagamon tourism.
KEYWORDS: Ecotourism, sustainable development, ecosystem

1) Chattopadhyay, Velayutham .S and Salim .M B, 1986. Trends of deforestation in Kerala.Int.J.Env.Mgt.20:219-230. 2) Chattopadhyay .S and Chattopadhyay .M (2005) Sustainable Land Management in Kerala, India a Biophysical Approach. 

3) Gupta, A. and M. Chaudhuri (1992) "Domestic water purification for developing countries." Aqua (Oxford). 45(5):290-298. 

4) IUCN, 1996 Survey of the status of animal life on Earth, Gland, Switzerland. 

5) Mathew, K.M. 1987. Vegetation of Kodai and its non-regeneration. A hand book of the Anglade Institute of Natural History, 40-41. 

6) Srivastava, R. K. 1994. Reestablishment of sholas in the grassland. 

7) A reverse process. Indian Forester 120 (9), 868-869. 

8) World Watch institute, 2005.State of the World 2005: redefining 

9) Global security. 237p

Vagamon Tourism in Kerala- Its Impact on Economy and Environment
Emilda George
Pages: 24-32 | First Published: 05 Apr 2019
Full text | Abstract | Purchase | References | Request permissions

ABSTRACT
The development of tourism has been given a high priority in the economic development programs of the country since the 1980s. The state of Kerala, which is now stylized as „God‟ 's own Country‟ on the global tourist map, has also been accorded it a major position to reorient its economic development utilizing its natural green environment. Accordingly, the development of tourism in all its variety including "beach tourism", "backwater tourism", "village tourism", "ecotourism", "adventure tourism", "monsoon tourism", "heritage tourism", etc., is being promoted in the state. The Vagamon region is largely rural comprising tea plantations, forests, and grasslands. The present scenario is pathetically poignant. The naturally formed streams are being blocked and the sudden huge inflow of people in large and medium vehicles that ply on 2 the silken hills has disturbed the natural quiet, have shaken the soil, loosened the rocky structures, and disturbed the entire ecology of the area . The objective of this paper is to analyze the economic and environmental impacts of Vagamon tourism and to suggest measures to protect the tourist spot. It also evolves a „sustainable developmental strategy‟ of tourism, focusing on the Kerala scenario. The methodology used is both primary and secondary. The local inhabitants of the place were interviewed as the preliminary step. - Data, information, and facts projected in the mass media – books, journals, national newspapers, and national seminars as well as in the apex forums of India have been used to analyze the economic and environmental impact of Vagamon tourism.


KEYWORDS: Ecotourism, sustainable development, ecosystem

1) Chattopadhyay, Velayutham .S and Salim .M B, 1986. Trends of deforestation in Kerala.Int.J.Env.Mgt.20:219-230. 2) Chattopadhyay .S and Chattopadhyay .M (2005) Sustainable Land Management in Kerala, India a Biophysical Approach. 3) Gupta, A. and M. Chaudhuri (1992) "Domestic water purification for developing countries." Aqua (Oxford). 45(5):290-298. 4) IUCN, 1996 Survey of the status of animal life on Earth, Gland, Switzerland. 5) Mathew, K.M. 1987. Vegetation of Kodai and its non-regeneration. A hand book of the Anglade Institute of Natural History, 40-41. 6) Srivastava, R. K. 1994. Reestablishment of sholas in the grassland. 7) A reverse process. Indian Forester 120 (9), 868-869. 8) World Watch institute, 2005.State of the World 2005: redefining 9) Global security. 237p

Vagamon Tourism in Kerala- Its Impact on Economy and Environment
Emilda George
Pages: 25-31 | First Published: 05 Apr 2019
Full text | Abstract | Purchase | References | Request permissions

Abstract

Development of tourism has been given a high priority in the economic development programmes of the country since 1980s. The state of Kerala, which is now stylized as „God‟s own Country‟ in the global tourist map, has also accorded it a major position in order to reorient its economic development utilizing its natural green environment. Accordingly, development of tourism in all its variety including "beach tourism", "back water tourism", "village tourism", "ecotourism", "adventure tourism", "monsoon tourism", "heritage tourism", etc., is being promoted in the state. The Vagamon region is largely rural comprising tea plantations, forests and grasslands. The present scenario is pathetically poignant. The naturally formed streams are being blocked and the sudden huge inflow of people in large and medium vehicles that ply on 2 the silken hills have disturbed the natural quiet, have shaken the soil, loosened the rocky structures and disturbed the entire ecology of the area .The objective of this paper is to analyze the economic and environmental impacts of Vagamon tourism and to suggest measures to protect the tourist spot. It also evolves a „sustainable developmental strategy‟ of tourism, focusing on the Kerala scenario. The methodology used is both primary and secondary. The local inhabitants of the place were interviewed as the preliminary step. - Data, information and facts projected in the mass media – books, journal, national newspaper, and national seminars as well as in the apex forums of India have been used to analyze the economic and environmental impact of Vagamon tourism.
Keywords: Ecotourism, sustainable development, ecosystem

References

1) Chattopadhyay, Velayutham .S and Salim .M B, 1986. Trends of deforestation in Kerala.Int.J.Env.Mgt.20:219-230. 2) Chattopadhyay .S and Chattopadhyay .M (2005) Sustainable Land Management in Kerala, India a Biophysical Approach. 3) Gupta, A. and M. Chaudhuri (1992) "Domestic water purification for developing countries." Aqua (Oxford). 45(5):290-298. 4) IUCN, 1996 Survey of the status of animal life on Earth, Gland, Switzerland. 5) Mathew, K.M. 1987. Vegetation of Kodai and its non-regeneration. A hand book of the Anglade Institute of Natural History, 40-41. 6) Srivastava, R. K. 1994. Reestablishment of sholas in the grassland. 7) A reverse process. Indian Forester 120 (9), 868-869. 8) World Watch institute, 2005.State of the World 2005: redefining 9) Global security. 237p

A Study on Impact of Social Media on Business
V. Rajalakshmi
Pages: 32-37 | First Published: 05 Apr 2019
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Abstract
Social media is becoming an essential tool for the activities engaged in the business, which is at a very minimum level of investment, This phenomenon has influenced the corporate business world and there is an increase in the number of organizations joining the social media platforms. Organizations are spending considerable amount of their time, energy and money to build and maintain their social media public pages to improve their standing in the global business space across the world. Social media being a relatively new occurrence to the global business world hence the studies conducted in this area is limited and a most of them are based on the individual perspectives. Today 86 percent of marketers use social media as an indispensable tool for marketing endeavors. Marketers and sales teams alike are eagerly work to learn more about what are the special tools which are available to track returns on investment in media, and to implement new methods to satisfy the consumer needs. This study helps to understand the advantages, impacts and importance of Social Media on the performance and growth of the business.
Keywords: Social media, Internet marketing, communication in marketing & Business Opportun

1. Social Media Marketing Dave Evens & Jake Mackee.
2. Social Media Marketing Industry Report by Michael A.Stelzner,March 2009.
3. What Is Social Media Marketing, by Rob Williams of Orangejack LLC, Updated Feb 2009.
4. Journal of Modern Sciences; 2009.

A Study on Impact of Social Media on Business
V. Rajalakshmi
Pages: 33-38 | First Published: 05 Apr 2019
Full text | Abstract | Purchase | References | Request permissions

ABSTRACT
Social media is becoming an essential tool for the activities engaged in the business, which is at a
very minimum level of investment, This phenomenon has influenced the corporate business world and
there is an increase in the number of organizations joining the social media platforms. Organizations are
spending a considerable amount of their time, energy, and money to build and maintain their social media
public pages to improve their standing in the global business space across the world. Social media is a
relatively new occurrence in the global business world hence the studies conducted in this area are limited
and a most of them are based on the individual perspectives. Today 86 percent of marketers use social
media as an indispensable tool for marketing endeavors. Marketers and sales teams alike are eagerly work
to learn more about what are the special tools that are available to track returns on investment in
media, and to implement new methods to satisfy the consumer needs. This study helps to understand the
advantages, impacts, and importance of Social Media on the performance and growth of the business.


Keywords: Social media, Internet marketing, communication in marketing and business Opportunities

1. Social Media Marketing Dave Evens & Jake Mackee.
2. Social Media Marketing Industry Report by Michael A.Stelzner,March 2009.
3. What Is Social Media Marketing, by Rob Williams of Orangejack LLC, Updated Feb 2009.
4. Journal of Modern Sciences; 2009

Over View of Brand Management in Indian Marketing Environment
Sathisha S. D
Pages: 38-43 | First Published: 05 Apr 2019
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Abstract
Brand management begins by full a systematic information of the term “brand.” It comprises emerging a promise, construction that promise and maintenance the situation. It means defining the brand, standing the brand, and delivering the brand. Brand management is nothing but an act of creating and sustaining the brand. Branding makes customers committed to your business. A strong brand differentiates your products from competitors. It gives a quality image to your business. Brand management includes managing the tangible and intangible characteristics of the brand. In the case of product brands, the tangibles include the product itself, price, packaging, etc. Although in case of service brands, the tangibles include the customers’ experience.
Keywords: Brand Management, Indian Marketing Environment

1. Robert V. Kozinets et al Teaching Old Brands New Tricks: Retro BfaiKting and the Revival of Brand Meaning Journal of Marketing Vol. 67 (July 2003), 19-33
2. David Gilbert ( 2003) Retail Marketing Management
3. Chih-Wen Wu (2003) An Empirical Study Of Marketing Environment, Strategy And Performance In The Property Market
4. Ailawadi, K.L., Lehmann, D.R. And Neslin, S.A. (2003) “Revenue Premium As An Outcome Measure Of Brand Equity”, Journal Of Marketing, 67 (October): 1-17
5. Mihalis Kavaratzis Et Al (2004) City Branding: An Effective Assertion Of Identity Or A Transitory Marketing Trick

Over View of Brand Management in Indian Marketing Environment
Sathisha S. D
Pages: 39-44 | First Published: 05 Apr 2019
Full text | Abstract | Purchase | References | Request permissions

ABSTRACT
Brand management begins with full a systematic information on the term “brand.” It comprises
emerging a promise, construction of that promise, and maintenance of the situation. It means defining the
brand, standing the brand, and delivering the brand. Brand management is nothing but an act of creating
and sustaining the brand. Branding makes customers committed to your business. A strong brand
differentiates your products from competitors. It gives a quality image to your business. Brand
management includes managing the tangible and intangible characteristics of the brand. In the case of
product brands, the tangibles include the product itself, price, packaging, etc. Although in the case of service
brands, the tangibles include the customers’ experience.


Keywords: Brand Management, Indian Marketing Environment

1. Robert V. Kozinets et al Teaching Old Brands New Tricks: Retro BfaiKting and the Revival of
Brand Meaning Journal of Marketing Vol. 67 (July 2003), 19-33
2. David Gilbert ( 2003) Retail Marketing Management
3. Chih-Wen Wu (2003) An Empirical Study Of Marketing Environment, Strategy And
Performance In The Property Market
4. Ailawadi, K.L., Lehmann, D.R. And Neslin, S.A. (2003) “Revenue Premium As An Outcome
Measure Of Brand Equity”, Journal Of Marketing, 67 (October): 1-17
5. Mihalis Kavaratzis Et Al (2004) City Branding: An Effective Assertion Of Identity Or A
Transitory Marketing Trick

Rescaled Range Analysis – A Comparative Study on Bombay Stock Exchange and National Stock Exchange
Dr. L. Vijaya Kumar
Pages: 43-56 | First Published: 05 Apr 2019
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Abstract
The present study is an attempt to find out the long-range persistence of selected sample listed in
BSE and NSE Sectoral Indices. To analyze the comparative study on the Bombay Stock Exchange and
National Stock Exchange (Special Reference with BSE Auto, Bankex & NSE Auto, Bankex ),
Augmented Dickey-Fuller Test, Phillips Perron Test for Stationarity, Autocorrelation, Normality test
using Kolmogorov- Smirnov and Shapiro –Wilk Test, ARCH and GARCH model, and Rescaled Range
Analysis during the study period 01st April 2005 to 31st March 2017 of selected Sectoral Indices listed in
Bombay Stock Exchange and National Stock Exchanges. The findings of the study indicated that there
is a persistence of long-range memory in selected sample return of BSE and NSE during the study
period.


Keywords: BSE Bankex & Auto and NSE Bankex & Auto, Persistence, Augmented Dickey-Fuller Test,
Rescaled Range Analysis.

1. Ladislav Kristoufek (2010), “Rescaled Range Analysis and Detrended Fluctuation Analysis: Finite
sample properties and Confidence Intervals”, AUCO Czech Economic Review, 4 , 315-329.
2. Cipriannecula and Alina Nicoleta Radu (2012), “Long Memory in Eastern European Financial
Markets Returns”, Economic Research, 25(2), 361-378.
3. Ladislav Kristoufek (2010), “Rescaled Range Analysis and Detrended Fluctuation Analysis: Finite
sample properties and Confidence Intervals”, AUCO Czech Economic Review, 4 , 315-329.
4. Shekar Shetty, Dhari Alabdulhadi et al (2014). “Stock Market Behavior: A Fractal Analysis of
Saudi Stock Exchange” 14th International Academic Conference, 6(9), 398 – 411.
5. Arun Joe Bebulo .S, Janaki. B and Jeeva. C (2014), “Stock Market Indices prediction with Various
Neural Networks Models”, International Journal of computer science and mobile applications,
2(3), 42-46.
6. Serpil Turkyilmaz and Mesut Balibey (2014), “Long Memory Behavior in the Returns of Pakistan
Stock Market: AFRIMA – FIGARACH Models”, International Journal of Economics and
Financial Issues, 4(2), 400-410.
7. Yi Wang, Xin Su and Xueil Zhen (2015), in the paper entitled “Fractal Analysis of the
Agricultural Products Price Time Series”, International Journal of U and e Service Science and
Technology, 8(10), 395-404.
8. Oscar Alsing and Oktay Bahceci (2015) “Stock market Prediction using Social Media Analysis”,
Degree project in computer Science , Stockholm, Swenen. PP 1 -43.
9. Nikola Milosevic (2015),“Equity forecast: Predicting long term stock price movement using
machine Learning”, School of computer science, University of Manchester, UK. PP -1-7.
10. Hakob Grigoryan (2015). “Stock prediction using Artificial Neural Networks Case Study of
TAL1T, Nasdaq OMX Baltic Stock” Database Systems Journal, VI(2),14-23.
11. Gaurav Kshirsagar, Rukshed Amaria, Mohit Chandel, Shantan Kakade (2016), “Stock Market
Prediction using Artificial Neural Networks” International Journal of advance research in
computer Science and software Engineering, 6(3), 626-630.
12. Soumya Guha et al (2016), “Investigating the efficiency of the Indian Currency market: A
Persistence Perspective” Journal of International Business and Economy, 17(1), 21-37.
13. Amin hedayati Moghaddam, Moein Hedayati Mohaddam and Morteza Esfandyri (2016), “Stock
Market Index prediction using Artificial Neural Networks” Journal of Economic, Finance and
Administrative Science, 21, 89-93.
14. Jaydip Sen and Tamal Datta Chaudhuri (2016), “Decomposition of Time Series Data of Stock
Markets and its Implications for Prediction – An Application for Indian Auto Sector”, Journal of
Business, PP 1-13.
15. Bhagyashree Nigade , Aishwarya Pawar et al (2017), “Stock Trend Prediction Using Regression
Analysis – A Data Mining Approach” , International journal of Innovative Research in computer
and communication Engineering, 5(2),2229-2233.
16. Varun Milk (2017) “ARIMA / GARCH (1,1) Modeling and Forecasting for a GE Stock Price
Using R”, ELK Asia pacific journal of Marketing and Retail Management, 8(1), 1-12.

Rescaled Range Analysis – A Comparative Study on Bombay Stock Exchange and National Stock Exchange
Dr. L. Vijaya Kumar
Pages: 44-55 | First Published: 05 Apr 2019
Full text | Abstract | Purchase | References | Request permissions

Abstract
The present study is an attempt to find out the long range persistence of selected sample listed in BSE and NSE Sectoral Indices. To analyze the comparative study on Bombay Stock Exchange and National Stock Exchange (Special Reference with BSE Auto, Bankex & NSE Auto, Bankex ), Augmented Dickey Fuller Test, Phillips Perron Test for Stationarity, Autocorrelation, Normality test using Kolmogorov- Smirnov and Shapiro –Wilk Test, ARCH and GARCH model and Rescaled Range Analysis during the study period 01st April 2005 to 31st March 2017 of selected Sectoral Indices listed in Bombay Stock Exchange and National Stock Exchanges.. The findings of the study indicated that there is a persistence of long range memory in selected sample return of BSE and NSE during the study period.
Keywords: BSE Bankex & Auto and NSE Bankex & Auto, Persistence, Augmented Dickey Fuller Test, Rescaled Range Analysis.

1. Ladislav Kristoufek (2010), “Rescaled Range Analysis and Detrended Fluctuation Analysis: Finite sample properties and Confidence Intervals”, AUCO Czech Economic Review, 4 , 315-329.
2. Cipriannecula and Alina Nicoleta Radu (2012), “Long Memory in Eastern European Financial Markets Returns”, Economic Research, 25(2), 361-378.
3. Ladislav Kristoufek (2010), “Rescaled Range Analysis and Detrended Fluctuation Analysis: Finite sample properties and Confidence Intervals”, AUCO Czech Economic Review, 4 , 315-329.
4. Shekar Shetty, Dhari Alabdulhadi et al (2014). “Stock Market Behavior: A Fractal Analysis of Saudi Stock Exchange” 14th International Academic Conference, 6(9), 398 – 411.
5. Arun Joe Bebulo .S, Janaki. B and Jeeva. C (2014), “Stock Market Indices prediction with Various Neural Networks Models”, International Journal of computer science and mobile applications, 2(3), 42-46.
6. Serpil Turkyilmaz and Mesut Balibey (2014), “Long Memory Behavior in the Returns of Pakistan Stock Market: AFRIMA – FIGARACH Models”, International Journal of Economics and Financial Issues, 4(2), 400-410.
7. Yi Wang, Xin Su and Xueil Zhen (2015), in the paper entitled “Fractal Analysis of the Agricultural Products Price Time Series”, International Journal of U and e Service Science and Technology, 8(10), 395-404.
8. Oscar Alsing and Oktay Bahceci (2015) “Stock market Prediction using Social Media Analysis”, Degree project in computer Science , Stockholm, Swenen. PP 1 -43.
9. Nikola Milosevic (2015),“Equity forecast: Predicting long term stock price movement using machine Learning”, School of computer science, University of Manchester, UK. PP -1-7.
10. Hakob Grigoryan (2015). “Stock prediction using Artificial Neural Networks Case Study of TAL1T, Nasdaq OMX Baltic Stock” Database Systems Journal, VI(2),14-23.
11. Gaurav Kshirsagar, Rukshed Amaria, Mohit Chandel, Shantan Kakade (2016), “Stock Market Prediction using Artificial Neural Networks” International Journal of advance research in computer Science and software Engineering, 6(3), 626-630.
12. Soumya Guha et al (2016), “Investigating the efficiency of the Indian Currency market: A Persistence Perspective” Journal of International Business and Economy, 17(1), 21-37.
13. Amin hedayati Moghaddam, Moein Hedayati Mohaddam and Morteza Esfandyri (2016), “Stock Market Index prediction using Artificial Neural Networks” Journal of Economic, Finance and Administrative Science, 21, 89-93.
14. Jaydip Sen and Tamal Datta Chaudhuri (2016), “Decomposition of Time Series Data of Stock Markets and its Implications for Prediction – An Application for Indian Auto Sector”, Journal of Business, PP 1-13.
15. Bhagyashree Nigade , Aishwarya Pawar et al (2017), “Stock Trend Prediction Using Regression Analysis – A Data Mining Approach” , International journal of Innovative Research in computer and communication Engineering, 5(2),2229-2233.
16. Varun Milk (2017) “ARIMA / GARCH (1,1) Modeling and Forecasting for a GE Stock Price Using R”, ELK Asia pacific journal of Marketing and Retail Management, 8(1), 1-12.

Molecular Structure, Vibrational Spectra and First Order Hyperpolarizability and DFT Approach OF4-(2, 5-Di-2-Thienyl-1h-Pyrrol-1-Yl) Benzoic Acid
Dr. A. Manohara
Pages: 56-75 | First Published: 05 Apr 2019
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Abstract
A structural and vibrational analysis of the 4-(2,5-di-2-thienyl-1H-pyrrol-1-yl) benzoic acid (TPBA), was carried out by ab initio calculations, at the density functional theory (DFT) method. Molecular geometry, vibrational wave numbers and gauge including atomic orbital (GIAO) 13C NMR and 1H NMR chemical shift values of (TPBA), in the ground state have been calculated by using ab initio density functional theory (DFT/B3LYP) method with 6-311G(d,p) as basis set for the first time. Comparison of the observed fundamental vibrational modes of (TPBA) and calculated results by DFT/B3LYP method indicates that B3LYP level of theory giving yield good results for quantum chemical studies. Vibrational wave numbers obtained by the DFT/B3LYP method are in good agreement with the experimental data. The study was complemented with a natural bond orbital (NBO) analysis, to evaluate the significance of hyper conjugative interactions and electrostatic effects on such molecular structure. By using TD-DFT method, electronic absorption spectra of the title compound have been predicted and a good agreement with the TD-DFT method and the experimental one is determined. The predicted non-linear optical properties of the title compound are much greater than ones of urea. In addition, the molecular electrostatic potential (MEP), frontier molecular orbitals analysis and thermodynamic properties of TPBA were investigated using theoretical calculations.

1. J. Jusélius, D. Sundholm, Phys. Chem. Chem. Phys. 2 (10) (2000) 2145–2151.
2. Yung Hyun Kim, Jaeyoung Hwang, Jung Ik Son, Yoon-Bo Shim, 160 (2010) 413–418.
3. Hakan Can Soyleyici, Metin Ak, Yüksel Şahin, Dilek Odacı Demikol, Suna Timur, Chemistry and Physics 142 (2013) 303-310.
4. Amitesh Maiti, Alexei Svizhenko, M.P. Anantram, Phys. Rev. Lett. 88 (2002) 1268051.
5. Danhong Zhou, Ding Ma, Yan Wang, Xianchun Liu, Xinhe Bao, Chem. Phys. Lett. 373 (2003) 46-51.
6. J. Leconte, A. Markovits, M.K. Skalli, C. Minot, A. Belmajdoub, Surf. Sci. 497 (2002) 194-204.
7. Jian-guo Wang, Chang-jun Liu, Zhiping Fang, Yue Liu, Zhongqi Han, J. Phys. Chem. B 108 (2004) 1653-1659.
8. Gaussian 03W, Gaussian Inc.: Wallingford, 2004.
9. H.B. Schlegel, J. Comput. Chem. 3 (1982) 214-218.
10. M.H. Jamroz, Vibrational Enegy Distribution Analysis, VEDA 4 Computer Program, Poland, 2004.
11. E.D. Glendening, A.E. Reed, J.E. Carpenter, F. Weinhold, NBO Version 3.1, TCI, University of Wisconsin, Madison, 1998.
12. R. Ditchfield, J. Chem. Phys. 56 (1972) 5688-5691.
13. K. Wolinski, J.F. Hinton, P. Pulay, J. Am. Chem. Soc. 112 (1990) 8251-8260.
14. D. Michalska, R. Wysokinski Chem. Phys. Lett. 403 (2005) 211-217.
15. S. Shen, G.A. Guirgis, J.R. Durig, Struct. Chem. 12 (2001) 33-43.
16. A. Frisch, A.B. Nielson, A.J. Holder, GAUSSVIEW User Manual, Gaussian Inc, Pittsburgh, PA, 2000.
17. Li Xiao-Hong, Liu Xiang-Ru, Zhang Xian-Zhou, Comp. Theo. Chem. 969 (2011) 27–34
18. A. Dolmella, S. Gatto, E. Girardi, G. Bandoli, J. Mol. Struct. 513 (1999) 177-199.
19. S. Kikionis, V. Mckee, J. Markopoulos, O. Igglessi-Markopoulou, Tetrahedron 64 (2008) 5454-5458.
20. O.R. Pons, L.S. Andrés, D. Burget, P. Jacques, J. Photochem. Photobiol. A Chem. 179 (2006) 298–304.
21. H.S. Chen, Z.M. Li, X.P. Yang, H.G. Wang, X.K. Yao, Chin. Struct. J. Chem. 19 (2000) 317–325.
22. J.J. Nie, D.J. Xu, Chin. Struct. J. Chem. 21 (2002) 165–167.
23. J. Coates, in: R.A. Meyers (Ed.), Interpretation of Infrared Spectra: A Practical Approach, John Wiley and Sons Ltd., Chichester, 2000.
24. J.S. Kwiatkowski, J. Leszczynski, I. Teca, J. Mol. Struct. 436-437 (1997) 451-480.25. B. Bak, D. Christensen, L. Hansen-Nygaard, J. Rastrup-Andersen, J. Mol. Spectrosc. 7 (1961) 58-63.
26. T. Kupka, R. Wrzalik, G. Pasterna, K. Pasterny, J. Mol. Struct. 616 (2002) 17–32.
27. G. Varsanyi, Vibrational Spectra of Benzene Derivatives, Academic Press, New York, 1969.
28. A. Fu, D. Du, Z. Zhou, Spectrochim. Acta 59 (2003) 245–253.
29. R. Ditchfield, Molecular Orbital Theory of Magnetic Shielding and Magnetic Susceptibility, 56 (1972) 5688-5691.
30. H.O. Kalinowski, S. Brawn, Carbon13 NMR Spectroscopy, John Wiley and Sons, Chichester, 1988.
31. K. Pinlajer, E. Kleinpeter (Eds.) carbon13 chemical shifts in structure and Spectrochemical analysis VCH publishers, Deerfield Beach, 1994.
32. M. Sarafran, A. Komasa, E.B. Adamska, J. Mol. Struc. (Theochem.) 827 (2007) 101.
33. H.W. Thomson, P. Torkington, J. Chem. Soc. 171 (1945) 640-645.
34. E.D. Glendening, J.K. Badenhoop, A.E. Reed, J.E. Carpenter, J.A. Bohmann, C.M. Morales, F. Weinhold, NBO 5.0, Theoretical Chemistry Institute, University of Wisconsin, Madison, 2001.
35. C. James, A. AmalRaj, R. Reghunathan, I.H. Joe, V.S. JayaKumar, J. Raman
Spectrosc. 37 (2007) 1381-1392.
36. L.J. Na, C.Z. Rang, Y.S. Fang, J. Zhejiang Univ. Sci. 6B (2005) 584-589.
37. R.G. Pearson, J. Org. Chem. 54 (1989) 1423-1430.
38. J.I. Aihara, Phys. Chem. Chem. Phys. 2 (2000) 3121-3125.
39. X. Liu, T.G. Schmalz, D.J. Klein, Chem. Phys. Lett. 188 (1992) 550-554.
40. M.D. Diener, J.M. Alford, Nature (London) 393 (1998) 668-671.
41. R.G. Pearson, Proc. Natl. Acad. Sci. USA 83 (1986) 8440-8441.
42. R.G. Pearson, J. Am. Chem. Soc. 110 (1988) 2092-2097.
43. E. Scrocco, J. Tomasi, Adv. Quant. Chem. (1979) 11–115.

Molecular Structure, Vibrational Spectra and First Order Hyperpolarizability and DFT Approach OF4-(2, 5-Di-2-Thienyl-1h-Pyrrol-1-Yl) Benzoic Acid
Dr. A. Manoharan
Pages: 57-76 | First Published: 05 Apr 2019
Full text | Abstract | Purchase | References | Request permissions

ABSTRACT
A structural and vibrational analysis of the 4-(2,5-di-2-thienyl-1H-pyrrol-1-yl) benzoic acid (TPBA), was carried out by ab initio calculations, at the density functional theory (DFT) method. Molecular geometry, vibrational wave numbers, and gauge including atomic orbital (GIAO) 13C NMR and 1H NMR chemical shift values of (TPBA), in the ground state, have been calculated by using ab initio density functional theory (DFT/B3LYP) method with 6-311G(d,p) as basis set for the first time. A comparison of the observed fundamental vibrational modes of (TPBA) and calculated results by the DFT/B3LYP method indicates that the B3LYP level of theory giving yields good results for quantum chemical studies. Vibrational wave numbers obtained by the DFT/B3LYP method are in good agreement with the experimental data. The study was complemented with a natural bond orbital (NBO) analysis, to evaluate the significance of hyperconjugative interactions and electrostatic effects on such molecular structures. By using the TD-DFT method, electronic absorption spectra of the title compound have been predicted and a good agreement with the TD-DFT method and the experimental one is determined. The predicted non-linear optical properties of the title compound are much greater than those of urea. In addition, the molecular electrostatic potential (MEP), frontier molecular orbitals analysis, and thermodynamic properties of TPBA were investigated using theoretical calculations.

1. J. Jusélius, D. Sundholm, Phys. Chem. Chem. Phys. 2 (10) (2000) 2145–2151.
2. Yung Hyun Kim, Jaeyoung Hwang, Jung Ik Son, Yoon-Bo Shim, 160 (2010) 413–418.
3. Hakan Can Soyleyici, Metin Ak, Yüksel Şahin, Dilek Odacı Demikol, Suna Timur, Chemistry and Physics 142 (2013) 303-310.
4. Amitesh Maiti, Alexei Svizhenko, M.P. Anantram, Phys. Rev. Lett. 88 (2002) 1268051.
5. Danhong Zhou, Ding Ma, Yan Wang, Xianchun Liu, Xinhe Bao, Chem. Phys. Lett. 373 (2003) 46-51.
6. J. Leconte, A. Markovits, M.K. Skalli, C. Minot, A. Belmajdoub, Surf. Sci. 497 (2002) 194-204.
7. Jian-guo Wang, Chang-jun Liu, Zhiping Fang, Yue Liu, Zhongqi Han, J. Phys. Chem. B 108 (2004) 1653-1659.
8. Gaussian 03W, Gaussian Inc.: Wallingford, 2004.
9. H.B. Schlegel, J. Comput. Chem. 3 (1982) 214-218.
10. M.H. Jamroz, Vibrational Enegy Distribution Analysis, VEDA 4 Computer Program, Poland, 2004.
11. E.D. Glendening, A.E. Reed, J.E. Carpenter, F. Weinhold, NBO Version 3.1, TCI, University of Wisconsin, Madison, 1998.
12. R. Ditchfield, J. Chem. Phys. 56 (1972) 5688-5691.
13. K. Wolinski, J.F. Hinton, P. Pulay, J. Am. Chem. Soc. 112 (1990) 8251-8260.
14. D. Michalska, R. Wysokinski Chem. Phys. Lett. 403 (2005) 211-217.
15. S. Shen, G.A. Guirgis, J.R. Durig, Struct. Chem. 12 (2001) 33-43.
16. A. Frisch, A.B. Nielson, A.J. Holder, GAUSSVIEW User Manual, Gaussian Inc, Pittsburgh, PA, 2000.
17. Li Xiao-Hong, Liu Xiang-Ru, Zhang Xian-Zhou, Comp. Theo. Chem. 969 (2011) 27–34
18. A. Dolmella, S. Gatto, E. Girardi, G. Bandoli, J. Mol. Struct. 513 (1999) 177-199.
19. S. Kikionis, V. Mckee, J. Markopoulos, O. Igglessi-Markopoulou, Tetrahedron 64 (2008) 5454-5458.
20. O.R. Pons, L.S. Andrés, D. Burget, P. Jacques, J. Photochem. Photobiol. A Chem. 179 (2006) 298–304.
21. H.S. Chen, Z.M. Li, X.P. Yang, H.G. Wang, X.K. Yao, Chin. Struct. J. Chem. 19 (2000) 317–325.
22. J.J. Nie, D.J. Xu, Chin. Struct. J. Chem. 21 (2002) 165–167.
23. J. Coates, in: R.A. Meyers (Ed.), Interpretation of Infrared Spectra: A Practical Approach, John Wiley and Sons Ltd., Chichester, 2000.
24. J.S. Kwiatkowski, J. Leszczynski, I. Teca, J. Mol. Struct. 436-437 (1997) 451-480.
Molecular Structure, Vibrational Spectra and First Order Hyperpolarizability
and DFT Approach OF4-(2, 5-Di-2-Thienyl-1h-Pyrrol-1-Yl) Benzoic Acid
s
75
Emperor International Journal of Finance and Management Research
Emperor International Journal of Finance and Management
Research
25. B. Bak, D. Christensen, L. Hansen-Nygaard, J. Rastrup-Andersen, J. Mol. Spectrosc. 7 (1961) 58-63.
26. T. Kupka, R. Wrzalik, G. Pasterna, K. Pasterny, J. Mol. Struct. 616 (2002) 17–32.
27. G. Varsanyi, Vibrational Spectra of Benzene Derivatives, Academic Press, New York, 1969.
28. A. Fu, D. Du, Z. Zhou, Spectrochim. Acta 59 (2003) 245–253.
29. R. Ditchfield, Molecular Orbital Theory of Magnetic Shielding and Magnetic Susceptibility, 56 (1972) 5688-5691.
30. H.O. Kalinowski, S. Brawn, Carbon13 NMR Spectroscopy, John Wiley and Sons, Chichester, 1988.
31. K. Pinlajer, E. Kleinpeter (Eds.) carbon13 chemical shifts in structure and Spectrochemical analysis VCH publishers, Deerfield Beach, 1994.
32. M. Sarafran, A. Komasa, E.B. Adamska, J. Mol. Struc. (Theochem.) 827 (2007) 101.
33. H.W. Thomson, P. Torkington, J. Chem. Soc. 171 (1945) 640-645.
34. E.D. Glendening, J.K. Badenhoop, A.E. Reed, J.E. Carpenter, J.A. Bohmann, C.M. Morales, F. Weinhold, NBO 5.0, Theoretical Chemistry Institute, University of Wisconsin, Madison, 2001.
35. C. James, A. AmalRaj, R. Reghunathan, I.H. Joe, V.S. JayaKumar, J. Raman
Spectrosc. 37 (2007) 1381-1392.
36. L.J. Na, C.Z. Rang, Y.S. Fang, J. Zhejiang Univ. Sci. 6B (2005) 584-589.
37. R.G. Pearson, J. Org. Chem. 54 (1989) 1423-1430.
38. J.I. Aihara, Phys. Chem. Chem. Phys. 2 (2000) 3121-3125.
39. X. Liu, T.G. Schmalz, D.J. Klein, Chem. Phys. Lett. 188 (1992) 550-554.
40. M.D. Diener, J.M. Alford, Nature (London) 393 (1998) 668-671.
41. R.G. Pearson, Proc. Natl. Acad. Sci. USA 83 (1986) 8440-8441.
42. R.G. Pearson, J. Am. Chem. Soc. 110 (1988) 2092-2097.
43. E. Scrocco, J. Tomasi, Adv. Quant. Chem. (1979) 11–115.

Success Rate of Symmetrical Triangle Pattern in Indian Stock Charts
Dr. Sajeeve V.P.
Pages: 77-88 | First Published: 05 Apr 2019
Full text | Abstract | Purchase | References | Request permissions

Abstract
If price moves in the direction signalled by the Symmetrical triangle pattern, investment success can be ensured by identifying and following signals given by this patter. This papers examines whether the pattern achieves price objective expected of it so as to consider it as a predictive tool for superior return. The study finds that majority of symmetrical triangle patters identified do not achieve the whole price objective as held traditionally, so lack predictive value.  
Keywords: Technical analysis, stock market. Stock chart, Pattern, Symmetrical Triangle, Price Objective Achievement, Predictive Tool, Superior Return.
 

References
Books 

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  • Levy, Robert A. ‘Relative Strength as a criterion for Investment Selection’. The Journal of Finance, Vo. XXII No. 4. December 1967, pp. 595-610.

  • Levy Robert.A., ‘Conceptual Foundations of Technical Analysis’ Financial Analyst Journal, July – August, 1966, pp. 83-89, Reprinted in Sree Profit. Vol. IV. August, 1989.

  • Levy Robert A. Random Walks Reality or Myths’, Financial Analyst Journal, Vol. 23. No. 6 Nov.Dec. 1967.

Websites   
https://www.metastock.com 
https://www.investing.com 
https://www.nseindia.com 
https://www.bseindia.com
https://in.finance.yahoo.com 
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https://www.ino.com