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An Investigation of Multifractality and Herd Behaviour in Indian Capital Market During Macro-Political Events : An Empirical Evidence Through Econophysics Approach
The financial markets worldwide exhibit several complex and dynamic features in them. Among them, Multifractality is one of the most significant features of complex systems, and it has been identified and examined in the financial markets in recent years. Besides, studies in the past confirm that there exists a linkage between multifractality and herding behaviour in financial markets during extreme events. The current study attempts to investigate the presence of Multifractality caused by herding behaviour in the segments of the Indian capital market during the macro-political events. For this, the macro- political events were classified into three broad categories pre-scheduled events, intensified geopolitical events and uncertain macro-political events. Further, two major segments of the Indian capital market, namely, the equity and the Forex segment, were examined. The study employed the Multifractal Detrended Fluctuation Analysis approach to examine the Multifractality caused by herding behaviour during macro-political events. In addition, the study also measured the volatility surface and quantified the information uncertainty present in the selected segments of the Indian capital market. The findings suggest that the macro-political events impact the multifractality and herding behaviour in the examined segments of the Indian capital market. However, the degree of the multifractality caused by the herding behaviour traced in the market segments is event-specific. It differs based on the type of macro-political event. The overall analysis suggests that the pre-scheduled macro-political event's impact was higher for both equity and forex segments of the Indian capital market. Further, a high degree of multifractality caused by herding behaviour was traced in the Nifty segments during the intensified geopolitical events. On the other hand, uncertain macro-political events had no impact on the multifractality caused by the herding behaviour in equity and forex segments. The study results provide some significant implications for various market participants for investment decision-making and portfolio risk diversification during the macro-political events in India. -
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Developing a steady state wear equation for AA7050 hybrid composites/steel interface at elevated temperature
In this research work, an attempt was made to reinforce AA7050/5Gr composites with multi-walled carbon nanotube (MWCNT) of varying weight percentages processed through stir casting route. SEM with EDS mapping revealed that the particles were uniformly distributed over the composites. Hardness reduces with increasing MWCNT weight percentage owing to the inverse hall petch effect and increment in void content. A third-body abrasion, which happens when the CNT in the aluminium matrix material detaches from the surface and erodes material from the composites pin as well as the counter face, causes the wear resistance to rise with the addition of CNT particles. A mechanically mixed layer, which avoids direct metal-to-metal contact and thus increases wear resistance, was created at the abraded surface and at high temperature, where the reduction of wear rate was due to the development of oxide protective layer. A steady-state wear equation for the contacting surface at high temperature (R = 1/Y ?(ln W/2X)) for AA7050 hybrid compositessteel interface was developed. The enhancement in wear resistance was directly proportional to the proportion of ferrous content present on the surface, which was confirmed on the elemental analysis. Pock marks, micropits, craters and cracks were the features observed on the worn surface morphology, whereas delamination and plasticisation were the observed modes of wear mechanism. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Linear and non linear electroconvection in a micropolar fluid /
This thesis presents a theoretical study of linear and non-linear analyses of Rayleigh–Bénard–Marangoni/Rayleigh–Bénard electro convection in a micropolar fluid. The effects of non-uniform basic temperature gradient, suction–injection combination and gravity modulation have been studied in the presence of electric field. The effect of heat transfer in a micropolar fluid in the presence of electric field is also studied and results are presented graphically and discussed qualitatively. These problems assume greater importance in geophysics, astrophysics, oceanography, and engineering and in space situations with g-jitter connected with gravity stimulation study. Keeping in mind the importance and relevance of externally controlled internal convection in a micropolar liquid. -
A comparative analysis of KFC video advertisements and the impact on its customers of Bengaluru /
In India, today fast food being one of the most successful businesses and also all over the world because of the economic development, increase in per capita income, people having less time to cook, people having no time to wait in restaurants and people are ready to spend. One popular fast food chain in India is KFC and one of the tools of KFC to reach its customers is through visual advertisements. -
Machine learning based price negotiating e-commerce chatbot system /
Patent Number: 202141050967, Applicant: Dr .V. Vijayagopal.
Machine learning based Price negotiator E-commerce chatbot system Abstract: On the e-commerce website described in this study, artificial intelligence chat bots are used. This chatbot can help to simplify the price negotiation process on an e-commerce website. The chatbot communicates with the user using user-friendly language. This chatbot has been integrated into an online market website. -
Machine learning based bitcoin - cryptocurrency price predicator /
Patent Number: 202141055964, Applicant: B.Rebecca Jeyavadhanam.Machine learning based Bitcoin - cryptocurrency price predictor Abstract: Due to the escalation of geopolitical and economic issues over the last two years, global currency values have fallen, the stock markets have had a rough patch, and investor wealth has dwindled. There has been a surge in the use of virtual currencies. It's no surprise that cryptocurrency, a well-known digital currency, has recently become a hot topic, with investors vying for a piece of the action and businesses eager to accept it as payment. -
The effects on the financialand economic status of the country in covid pandemic @ its damages on human health /
Patent Number: 202241013748, Applicant: Dr. Ravikumar T.
The enhanced chi-square goodness of fit for the COVID-19 pandemic scenario is developed, and the proposed method is used to assess the increased testing rates in India and significant improvement in the COVID-19 medical sector. India has a population of approximately 1.39 billion people and is extremely densely inhabited in contrast to other countries. The current male population of 51.6 percent and the male population of 48.4 percent in areas with an overall low economic status have all posed significant challenges to India's first campaign against the COVID-19 hotspot. -
IOT and deep learning based emotion and hate speech regodnition to examine the person mind state in home/health care /
Patent Number: 202221053302, Applicant: Raghvendra Omprakash Singh.
IoT and deep learning based Emotion and hate speech recognition to examine the person mind state in home/health care ABSTRACT There are several applications for AEE, which stands for automatic emotion recognition. Various industries, including advertising, technology, and human-robot interactions, use the emotional responses of individuals as a signal. This paper analyses all pertinent scientific literature to determine the application of sensors. In these publications, numerous strategies that have already been researched or implemented are discussed. -
System and method for detecting lung cancer using intelligent image pattern recognition technique /
Patent Number: 202241028120, Applicant: Dr.S.Balamurugan.
One of the most dreadful diseases that reports high mortality rates in literature is cancer. Among the different types of cancer, lung cancer is considered to be the most dangerous disease leading to death. Lung Cancer is caused due to abnormal multiplying of cells which grows as a tumour. It has been reported in literature that every year nearly 15 million people die due to lung cancer around the globe. Lung cancer is difficult to treat as the symptoms of the disease is shown up during its final stages. -
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Small finance banks and financial inclusion in India /
Research Review Journals, Vol.4, Issue 3, pp.1586-1588, ISSN No: 2455-3085. -
Financial access indicators of financial inclusion: A comparative analysis of SAARC countries /
International Journal Intelligent Enterprise, Vol.7, Issue 1/2/3, pp.28-36 -
Emotional intelligence and work life balance of women IT professional in Bangalore /
Adarsh Journal of Management Research, Vol.7, Issue 2, pp.241-253, ISSN No: 0974-7028. -
Role of knowledge management strategies on employees performance in selected information technology companies In Bangalore /
International Journal of Management And Social Sciences, Vol.8, Issue 2.1, pp.54-58, ISSN No: 2349-9761. -
Dual purpose behavior of Ni-PTC MOF for high performance supercapacitor and water splitting applications
Metal-organic frameworks (MOFs) have elicited significant interest as next-generation materials for storing and converting energy, owing to their structural versatility and tunable physicochemical properties. In the present work, a nickel-based MOF, referred to as Ni-PTC, was synthesized via a straightforward method and explored for its dual functionality as a supercapacitor electrode and an electrocatalyst for overall water splitting. Structural and morphological analyses confirmed the materials high surface area, hierarchical porosity, and excellent crystallinity. As a supercapacitor electrode, Ni-PTC delivered a high specific capacitance of 953.86 F g?1 at 1 A g?1 and demonstrated superior cycling durability, retaining 92 % of its initial capacitance after 5000 cycles. Its electrocatalytic performance was assessed for both hydrogen (HER) and oxygen evolution reactions (OER), exhibiting overpotentials of 241 mV and 400 mV, respectively, at a current density of 10 mA cm?2. The catalyst also showed excellent operational stability, underscoring its potential in energy-related applications. 2026 Elsevier B.V. -
Study On Impact of Employee Retention Strategies on Employee Turnover in IT IndustryAn Exploratory Study in Bangalore
Employee Turnover is a major challenge faced by the companies globally. Employee Turnover is predominant not only in IT sector, but in other sectors as well. This study has focused in IT sector. Employees are the assets of any organization. Organizations are striving to retain their talents by implementing effective retention strategies. High Employee Turnover would subsequently have an impact on productivity and sustainability of the organization. There are two types of Employee Turnover ?? functional and dysfunctional. When productive employees leave the organization, it is said to be dysfunctional turnover and when the poor performers leave, it is called functional turnover. The focus of this study was dysfunctional turnover. Dysfunctional turnover is the concern of HR managers. When an employee leaves, it takes approximately eight weeks for this position to be replaced and in the meantime, productivity suffers. Causes and consequences of the Employee Turnover is mentioned in detail in Chapter 2. This study is an attempt to understand the impact of Retention Strategies on Employee Turnover in IT sector in India. Bangalore, being the IT hub of India, was chosen as the location of the study. Results of the study showed that Retention Strategies has an impact on Employee Turnover. Other variables such as Welfare Benefits, Personal Satisfaction and Organization Culture, which are said to be associated with the Employee Turnover were also investigated as a part of this study. -
International multi conference on computing, communication, electrial & nanotechnology /
Materials Today Proceedings, Vol.11, Issue 3, pp.889-115, ISSN No:2214-7853. -
Impact of the professional development programme on mentorship among Salesian college faculty
The National Education Policy (NEP, 2020) in India emphasises faculty professional development in mentorship as a key strategy for strengthening higher education. This study examines the impact of a Professional Development Programme on Mentorship (PDP-M) in enhancing self-efficacy and outcome expectancy among 37 faculty members at Salesian College. The intervention consisted of a 15-hour module, comprising 6 h of structured core sessions and 9 h of supplementary activities, adapted from the TPDP-M framework. A quasi-experimental, single-group prepost design was employed with in-service faculty participants. Quantitative measures of self-efficacy and outcome expectancy were collected before and after the intervention. Statistical analysis revealed statistically significant improvements in the total mentorship score, self-efficacy, and outcome expectancy. This study demonstrates that short, intensive, context-sensitive professional development programmes can effectively strengthen faculty mentoring capacity, offering a scalable model for higher education reform. 2026 Informa UK Limited, trading as Taylor & Francis Group.