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Diversifying investor's portfolio using bitcoin: An econometric analysis
Rational investors look into maximizing returns with minimal risk. Since this is highly unlikely, optimizing risk and return is a practical solution. Bitcoin is a new financial product that can be included in an investment portfolio. This paper looks at Bitcoins as a separate asset class and attempts to capture the volatility using the Exponential GARCH (E-GARCH) as well as to check if Bitcoins can be used as an optimal tool to hedge using the Dynamic Conditional Correlation GARCH against four traditional asset classes in the U.S. economy which includes the stock market (S&P 500 index), Bonds (U.S. Aggregate Bond Index), Gold and Crude Oil. The period of study is a little over 7 years. The results suggest that Bitcoin stands as a highly speculative class of asset with extremely high volatility and with respect to hedging, Bitcoin stands as a possible tool of hedge with the U.S. Aggregate Bond index and to a certain extent against Gold but fails to be an optimal hedge against the S&P 500 and Crude Oil in the U.S. economy between April 29, 2013 and October 31, 2019 due to its highly volatile nature. 2020 John Wiley & Sons, Ltd. -
Divine Consulting Services: A Sinking Ship or Back to Land Safely?
[No abstract available] -
Divulging the teachers job satisfaction effect on better work performance
The achievement and ruin of man's presence depends on how he functions adequately. In the event that he acknowledges what he does, with all the information and capability he has, there won't be even a solitary explanation behind him not to succeed. This study is an endeavor to research or to discover the impact of job satisfaction on teacher's better work performance among secondary teachers especially in aided and unaided sectors in Bangalore. To accomplish this objective, a survey was organized and was regulated to a sample of 1294 among the secondary school teachers, educating in aided and unaided sectors in Bangalore. In the wake of gathering the surveys, the quantitative information was arranged, coded and isolated based upon the real subjects and the individual study hypothesis. The outcomes uncovered the job satisfaction impacts on Better Work Performance. The discoveries give us a superior comprehension of the way of the theories demonstrates that job satisfaction significantly affect teachers better work performance better way of the teachers chose under the specimen concentrate on. Maybe, the execution won't not hold an affecting variable on job satisfaction in business area. IAEME Publication. -
DKMI: Diversification ofWeb Image Search Using Knowledge Centric Machine Intelligence
Web Image Recommendation is quite important in the present-day owing to the large scale of the multimedia content on the World Wide Web (WWW) specifically images. Recommendation of the images that are highly pertinent to the query with diversified yet relevant query results is a challenge. In this paper the DKMI framework for web image recommendation has been proposed which is mainly focused on ontology alignment and knowledge pool derivation using standard crowd-sourced knowledge stores like Wikipedia and DBpedia. Apart from this the DKMI model encompasses differential classification of the same dataset using the GRU and SVM, which are two distinct differential classifiers at two different levels. GRU being a Deep Learning classifier and the SVM being a Machine Learning classifier, enhances the heterogeneity and diversity in the results. Semantic similarity computation using Cosine Similarity, PMI and SOC-PMI at several phases ensures strong relevance computation in the model. The DKMI model yields overall Precision of 97.62% with an accuracy of 98.36% along with the lowest FDR score of 0.03 and is much better than the other models that are considered to be the baseline models. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
DMD Based Multi-Object Spectrograph for INdian Spectroscopic and Imaging Space Telescope: INSIST
INdian Spectroscopic and Imaging Space Telescope (INSIST) is the next-generation UV-Optical space mission proposed by the Indian Astronomical community motivated by the great success of India's first multi-wavelength Astronomical satellite (ASTROSAT) where Ultra Violet Imaging Telescope (UVIT) was one of the main payload launched in 2015 by Indian Space Research Organisation. INSIST is primarily designed for photometry observation in three bands (g-[400nm-550nm], u-[300nm-400nm] and UV-[150nm-300nm]) simultaneously over 0.25 sq.degree field of view. INSIST is equipped with a low resolution [R?500] spectrograph for multi-Object slitless spectroscopy over the imaging field of view and also has a medium resolution [R?2000] spectrograph for multi-object slit spectroscopy in UV-band over ?6 sq.arcmin sky. MEMS-based Digital Micromirror Device [DMD] is used to form configurable slits for the selection of objects at the focal plane of the telescope for multi-object slit spectrograph. Multi-Object spectrograph with DMD as a re-configurable slit for INSIST is designed and the performance of the spectrograph is presented. 2023 World Scientific Publishing Company. -
DNA based cryptography to improve usability of authenticated access of electronic health records
The quality of health care has been drastically improved with the evolution of Internet. Electronic health records play a major role in interoperability and accessibility of patients data which helps in effective and timely treatment irrespective of the demographic area. The proposed model is to ensure and monitor maternal health during pregnancy and to create awareness alerts (options include messages, voice alerts or flash the system) based on the individual health record. The system aims to prevent maternal death due to medical negligence and helps to make recommendations to prevent future mortality based on medical history and take appropriate action. Authentication is a critical aspect considering the trade-off between usability and security whereas data breach and related cybercrime are major concerns in health care. The proposed model uses DNA based authentication techniques to ensure usability and confidentiality of electronic data, Aadhaar to prevent unauthorized access to patients data in case of emergency without affecting availability. 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. -
DNA for information security: A Survey on DNA computing and a pseudo DNA method based on central dogma of molecular biology
Biology is a life science which has high significance on the quality of life and information security is that aspect for social edification, which human beings will never compromise. Both are subjects of high relevance and inevitable for mankind. So, an amalgamation of these subjects definitely turns up as utility technology, either for security or data storage and is known as Bio computing. The secure transfer of information was a major concern from ancient civilizations. Various techniques have been proposed to maintain security of data so that only intended recipient should be able to receive the message other than the sender. These practices became more significant with the introduction of the Internet. Information varies from big data to a particular word, but every piece of information requires proper storage and protection which is a major concern. Cryptography is an art or science of secrecy which protects information from unauthorized access. Various techniques evolved through years for information protection, including Ciphers, Cryptography, Steganography, Biometrics and recent DNA for security.DNA cryptography was a major breakthrough in the field of security which uses Bio-molecular concepts and gives us a new hope of unbreakable algorithms. This paper discusses various DNA based Cryptographic methods proposed till now. It also proposes a DNA symmetric algorithm based on the Pseudo DNA Cryptography and Central dogma of molecular biology. The suggested algorithm uses splicing and padding techniques along with complementary rules which make the algorithm more secure as it is an additional layer of security than conventional cryptographic techniques. 2014 IEEE. -
DNA-based authentication to access internet of things-based healthcare data
Data security and privacy are always considered as critical aspects, especially in healthcare. The advent of technologies such as the Internet of Things (IoT) has encouraged a great deal of attention in this digital era and helped to improve e-health services. IoT-based services in healthcare and their applications have led to potential growth of quality services in healthcare. However, the sensitive nature of healthcare data and IoT devices which store and collect real-time data makes it even more vulnerable to various attacks. With the development of digitalized data and IoT-based e-health systems, authentication mechanisms are essential to ensure both usability and security. Considering these aspects, a novel, secure user authentication scheme is proposed that uses user ID, unique ID (AADHAAR), password, DNA steganography, and hash function. An One Time Password method is also proposed to strengthen the device authentication. The Scyther tool is used for security analysis and to validate the claims. 2021 Elsevier Inc. All rights reserved. -
Do all shocks produce embedded herding and bubble? An empirical observation of the Indian stock market
Herding has a history of igniting large, irrational market ups and downs, usually based on a lack of fundamental support. Intuitively, most herds start with an external shock. This empirical study seeks to detect shock-induced herding and the creation of nascent bubbles in the Indian stock market. Initially, the multifractal form of the detrended fluctuation analysis was applied. Then the Reformulated Hurst exponent for the Bombay stock exchange (BSE) was determined using Kantelhardt's calibration. The investigation found evidence of high-level herding and a bubble in 2012, with a high value of Hurst Exponent (0.7349). The other years of the research period (2011, 2013, 2016, 2018, 2020-2021) observed mild to significant herding with comparatively lower Hurst values. The results confirm that herding behavior occurs during a crisis and harsh situations emitting shocks. The study concludes that shock-based herding is prevalent in all six shocks: the economic meltdown, commodities and currency devaluation, geo-political problems, the Central Bank's decision on liquidity management, and the Pandemic. Additionally, the years following the Financial Crisis and the years of the Pandemic are when herding and bubble are prominent. Tabassum Khan, Suresh G., 2022. -
Do Bank Characteristics Really Matter for its Environmental Reporting?
The last few decades have seen an increasing number of researches in the area of environmental reporting. Institutions across the globe have been extensively reporting their environmental initiatives through their annual reports. There is a dearth of research on environmental reporting in the Indian context. Thus, this study comprehensively analyzes the environmental reporting practices of scheduled banks in India. It further attempts to explore the association between environmental reporting and bank characteristics. The secondary data is collected from the annual reports, sustainability reports, and business responsibility reports for the period 2017-2022. The sample consists of ten top-rated commercial banks chosen based on market capitalization during June 2022. The content analysis technique is used to extract information on environmental practices under twelve major categories. This study employs correlation analysis to examine the association between environmental reporting and bank characteristics. The findings of this study reveal that Indian commercial banks are increasingly reporting environmental information in their bank reports and websites. Further, the results of correlation analysis revealed a significant association between environmental reporting and the banks' age, size, and profitability. Further, this study recommends policymakers and concerned professional bodies introduce additional environmental guidelines and widen the scope of reporting in the banking industry. 2024 National Institute of Science Communication and Policy Research. All rights reserved. -
Do economic globalization and the level of education impede poverty levels? A non-linear ARDL approach
This study empirically examines whether economic globalization reduces (enhances) the level of poverty in the top (bottom) globalized region by controlling economic growth, urbanization, government expenditure, and public expenditure on education. This issue has taken Europe and Central Asia (ECA) as the top (16) and South Asia (SA) as the bottom (7) economic globalized developing region for the empirical analysis for the period of 1991-2020. Two empirical models, non-linear ARDL and PMG-ARDL, estimate the impact of globalization (trade and financial openness) and education on poverty. This study also segregates economic globalization into de jure and de facto to critically analyze the impact on poverty reduction. The long-run results suggest that economic globalization has a negative (positive) effect on poverty in the top (bottom) globalized region. Apart from globalization, primary education is insufficient for reducing poverty in the ECA region, while primary education is enough to reduce poverty in the SA region. After replacing economic globalization with trade and financial openness, the results reveal that more trade openness is difficult for reducing poverty in top globalized developing countries. On the contrary, financial openness reduces (enhances) poverty in the top (bottom) globalized region. Additionally, the impact of de jure and de facto economic globalization are similar throughout the regions. The effects of control variables are mixed in nature. From a policy perspective, the government of these two regions should use education as a weapon to lower poverty vulnerability by improving its quality and giving extensive focus on trade and financial openness to find out the leakage of the financial flows. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Do fine dine restaurants satisfy customer needs?Diners perception of functional aspects of quality, value and satisfaction
Objectives: Guest satisfaction has emerged as a potentially important factor in restaurant performance and function. The objective of this paper is to examine the current state of guest satisfaction and factors affecting them in fine dining restaurant through a review of the literature. The review focuses on six determinants and their effect on guest satisfaction. Design: A systematic review of lighting, Type of music, food quality, food quantity, food plating and foodservice about guest satisfaction was performed. Review methods: The literature was derived from the published research articles. The selection criteria for the review included the studies that were; written in English, related to guest satisfaction in the hospitality sector, employee performance in the hospitality sector. Results: The literature review identified five distinct lines of research that have focused on guest satisfaction in fine dining restaurants. Total 52 guest satisfaction based articles referenced in this paper, a sample of 30 studies reported on the examination of antecedents of satisfaction among guests. Key findings suggest that all the five factors that are; lighting, Type of music, food quality, food quantity food plating, and foodservice significantly impact on guest satisfaction. Conclusions: The study of Factors affecting guest satisfaction in a fine dining restaurant helps in the restaurant to build an image in the minds of their guests and creates awareness for Guests on how fine dining functions. Future research is required to provide restaurants a better understanding of their guests for their satisfaction. 2019 SERSC. -
Do flexible working hours influence employee skill enhancement and productivity? Evidence from polyvalent workers
This chapter investigates the influence of flexible working schedules affect the productivity and skill development of polyvalent workers. A thorough literature analysis guided the creation of a questionnaire that was given to 153 polyvalent workers as a sample. The gathered data was subjected to statistical analysis in order to determine how flexible work schedules affected worker productivity and skill development. The results show a strong correlation between flexible work schedules and increased productivity and skill development among employees. Furthermore, it was discovered that these results were significantly impacted by flexible working hours. Flexible schedules can help multitasking employees, who are skilled in a range of jobs, improve their productivity and further develop their skills. Companies that use polyvalent labour are encouraged to think about adopting flexible work schedules as a way to improve worker productivity and abilities. 2024, IGI Global. All rights reserved. -
Do Frequency of Visit and Length of Stay Alter Perceived Cognitive Destination Image? A Multivariate Approach
The Indian tourism industry is competing with global destinations through effective and lucrative strategies. Strategic destination branding is one of the finest ways of achieving the frontier. This requires careful analysis of tourists' perception and behavior from time to time and inculcate insights on the branding process. Accordingly, this research work is an extract from a major research that focused on whether the behavioral elements such as tourists' frequency of visit and length of stay to/in the destination influenced the perceived cognitive destination image. Even though literary sources indicated the connection between these factors, a void was identified in terms of the aspects of the cognitive image, specifically in the Indian context. Hence, a district in Tamil Nadu that had high tourist attractions and potentialities to serve distinct tourist motives was chosen for the study. The respondents answered a structured questionnaire that contained the necessary questions and statements on tourists' sociodemographic characteristics, frequency of visit, length of stay, and perception of the cognitive image of the destination. The sample size was rounded to 327 after data cleaning. Simple percentage analysis revealed that the highest percentage of tourists were frequent visitors and stayed in the destination for more than a week. This is a good sign for marketers to increase the tourists' inflow and invest in branding strategies. The multivariate analysis of variance technique of SPSS was employed to analyze the data. The results indicated that despite the frequency of visit and length of stay, some of the cognitive belief aspects remained unaltered. Suggestions were made to the marketers on deploying the cognitive image aspects while designing the advertisement campaigns and including the cognitive image elements in the branding process. Theoretical implications were also indicated on the outcome of this research. Also, limitations were stated in terms of the sample size, research location, and other aspects. Scope for further research was also indicated. 2021, Associated Management Consultants Pvt. Ltd. All rights reserved. -
Do futures and options trading increase spot market volatility in India? the case of S&P CNX Nifty
The exponential generalised autoregressive conditional heteroscedasticity (EGARCH) model followed by standard GARCH (1, 1) model were employed to investigate the impact of introduction of futures and options trading on the volatility of the underlying spot market in India. The empirical analysis was conducted for the daily closing price returns of S&P CNX Nifty spot index from 1st January, 1996 through 31st October, 2008. The empirical results reveal that the spot market volatility has been declined after the introduction of futures and options trading in India. Besides, the empirical results indicate that the impact of recent news has a greater impact on the spot market changes following the onset of futures/options trading. At the same time, the persistence of volatility shocks has been declined in the post-derivatives scenario indicating increased efficiency of the Indian spot market. Hence, the present study suggests that the introduction of futures and options trading have improved the speed and quality of information flowing in the spot market. This enhances the overall market depth, increases market liquidity and ultimately reduces informational asymmetries and therefore compresses spot market volatility in India. Copyright 2010 Inderscience Enterprises Ltd. -
Do gender diversity and leadership style influence team performance and innovation among the employees: Evidence from the IT sector
The aim of this chapter is to investigate the influence of gender diversity and leadership style on team performance and innovation of potential teams in the information technology sector. A questionnaire was developed, and a sample of 403 responses were collected from the employees. The analysis of the collected data was done using statistical tests of correlation and logistical regression, in order to understand the relationship and impact of gender diversity and leadership style on team performance and innovation potential of teams. The following findings emerged from the analysis. The findings reveal that there is a positive and significant relationship between gender diversity, leadership style, team performance, and innovation. Also, the result from logistics regression evidence that gender diversity and communication have an impact on team performance, whereas organisational culture and communication have an impact on innovation potential within teams. 2024, IGI Global. All rights reserved. -
Do geopolitical tensions instigate mindless following in stock markets? An empirical enquiry into the indices of CNX Nifty HFT
Geopolitical tensions between nations play a crucial role in triggering volatility and affecting the investors behavior in stock markets. This empirical work attempts to detect the traces of herding and bubble embedded in the Indian stock indices of CNX Nifty 50 and CNX Nifty 100 (both in High-Frequency Trading domains) during the latest events of geopolitical tensions escalated between India-China and India-Pakistan. An event window approach is employed to capture the impact of these events on herding behavior and information uncertainty in the considered stock indices. Multifractal Detrended Fluctuation Analysis (MFDFA) is applied to compute the Hurst value in all the trading days of the event window. The results of both indices exhibit conclusive evidence of herding and bubble formation during the overall period of geopolitical tensions between India-China and India-Pakistan. However, the degree of herding in the stock indices intensifies to a profound pattern when the tensions between India and China escalated into deadly violent clashes, and also during the heightened tensions between India and Pakistan that eventually ended up in airstrikes across the boundaries. The overall level of information uncertainty depicted by entropy is within control. The volatility in these stock indices has been confirmed to follow a unidirectional pattern. Krishna T. A., Suresha B., 2021 -
Do Koreans hate Indians? Fact checking viral online videos calling out Korean racism
[No abstract available] -
Do Millennial Exhibit Environmentally Responsive Consumption BehaviorsA Study on Determinants of Green Purchase Decision?
The purchase behavior of green products is largely affected by the intention-action gap and skepticism present among consumers. The purpose of this study was to analyze the various factors that affect the purchase behavior of green products among millennials. The practical benefit of this research is that it will assist in the convergence of green marketing and environmental consumer behavior theories. The theory used in the study is the theory of planned behavior. It helps to understand the specific behaviors of consumers as a possibility of a particular behavioral intention. For this purpose, we identified five constructs, namely, Environmental Concerns and Belief (ECB), Eco-Labelling (EL), Green Packaging and Branding (GPB), Green Product, Premium, and Pricing (GPPP), and Consumers Beliefs Towards the Environment (CBTE). These constructs have helped in identifying and analyzing the various factors that affect the purchase behavior of green products among millennials. We analyzed the purchase behavior of green products using a questionnaire approach. For this descriptive study, there were 251 millennials as our respondents who were chosen using the convenience sampling technique. The data was collected through a structured questionnaire via Google form and was analyzed using regression analysis, correlation. It was found that the key factors of green marketing such as Environmental Concerns and Beliefs (ECB), Green Packaging and Branding (GPB), and Green Product, Premium and Pricing (GPPP) have a positive influence on Consumers Beliefs Towards the Environment (CBTE). It implies that by increasing the spending on green packaging and branding there will be a positive effect on consumers environmental beliefs. On the other hand, Eco-Labelling (EL) has a negative influence on Consumers Beliefs Towards the Environment (CBTE) and this is caused by skepticism present among millennials. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Do social and environmental disclosures increase firm value evidence from indian companies
There is a clear shift in the way the companies report their performance through the communications with their stakeholders. Moving from mere profit, the companies are increasingly showing their non-financial performance in terms of sustainability and social responsibility. Companies not only want to just spend on sustainability, but also like to project their activities to gain image among the stakeholders; more often with a separate set of report called corporate sustainability report, which is based on the triple bottom-line (profit, people, and planet). This study focused on understanding the corporate social and environmental reporting trends of Indian non-financial companies and the impact on market valuation. The sample constituted of companies in the BSE-100 index and data for 5 financial years - from FY2010 to FY2014 - were used. This period was chosen as it witnessed several regulatory changes in the triple bottom line reporting in the form of new Companies Act, 2013 and Clause 55 of the listing agreement. Paired 'f' test and panel data regression model were used for analyzing the data. This study found that the level of social and environmental disclosures has significantly improved post business responsibility reporting and positively significantly influenced market valuation.