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Econophysical bourse volatility-Global Evidence
Financial Reynolds number (Re) has been proven to have the capacity to predict volatility, herd behaviour and nascent bubble in any stock market (bourse) across the geographical boundaries. This study examines forty two bourses (representing same number of countries) for the evidence of the same. This study finds specific clusters of stock markets based on embedded volatility, herd behaviour and nascent bubble. Overall the volatility distribution has been found to be Gaussian in nature. Information asymmetry hinted towards a well-discussed parameter of 'financial literacy' as well. More than eighty percent of indices under consideration showed traces of mild herd as well as bubble. The same indices were all found to be predictable, despite being stochastic time series. In the end, financial Reynolds number (Re) has been proved to be universal in nature, as far as volatility, herd behaviour and nascent bubble are concerned. 2020 Bikramaditya Ghosh et al., published by Sciendo 2020. -
Diagnosis and prediction of iigps countries bubble crashes during brexit
We herein employ an alternative approach to model the financial bubbles prior to crashes and fit a log-periodic power law (LPPL) to IIGPS countries (Italy, Ireland, Greece, Portugal, and Spain) during Brexit. These countries represent the five financially troubled economies of the Eurozone that have suffered the most during the Brexit referendum. It was found that all 77 crashes across the five IIGPS nations from 19 January 2015 until 17 February 2020 strictly followed a log-periodic power law or other LPPL signature. They all had a speculative bubble phase (following the power law growth) that was then followed by a sudden crash immediately after reaching a critical point. Furthermore, their pattern coefficients were similar as well. This study would surely assist policymakers around the Eurozone to predict future crashes with the help of these parameters. 2021 by the authors. Licensee MDPI, Basel, Switzerland. -
Long memory investigation during demonetization in India
Long-range dependence (LRD) in financial markets remains a key factor in determining whether there is market memory, herding traces, or a bubble in the economy. Usually referred to as 'Long Memory', LRD has remained a key parameter even today since the mid-1970s. In November 2016, a sudden and drastic demonetization measure took place in the Indian market, aimed at curbing money laundering and terrorist funding. This study is an attempt to identify market behavior using long-range dependence during those few days in demonetization. Besides, it tries to identify nascent traces of bubble and embedded herding during that time. Auto Regressive Fractionally Integrated Moving Average (ARFIMA) is used for three consecutive days around the event. Tick-by-tick data from CNX Nifty High Frequency Trading (CNX Nifty HFT) is used for three consecutive days around demonetization (approximately, 5000 data points from morning trading sessions on each of the three days). The results show a clear and profound presence of herd behavior in all three data sets. The herd intensity remained similar, indicating a unique mixture of both 'Noah Effect' and 'Joseph Effect', proving a clear regime switch. However, the results on the event day show stable and prominent herding. Mandelbrot's specified effects were tested on an uncertain and sudden financial event in India and proved to function perfectly. Bikramaditya Ghosh, Saleema J. S., Aniruddha Oak, Manu K. S., Sangeetha R., 2020. -
Empirical analysis of ensemble methods for the classification of robocalls in telecommunications
With the advent of technology, there has been an excessive use of cellular phones. Cellular phones have made life convenient in our society. However, individuals and groups have subverted the telecommunication devices to deceive unwary victims. Robocalls are quite prevalent these days and they can either be legal or used by scammers to trick one out of their money. The proposed methodology in the paper is to experiment two ensemble models on the dataset acquired from the Federal Trade Commission (DNC Dataset). It is imperative to analyze the call records and based on the patterns the calls can classify as a robocall or not a robocall. Two algorithms Random Forest and XgBoost are combined in two ways and compared in the paper in terms of accuracy, sensitivity and the time taken. 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Through the Lenses of Sexual Minorities in the Indian LGBTQ + Community: Perception of Social Equality and Community Support
Whether in the form of same-sex attraction or love, the history of same-sex relationships has been well documented in every culture across the globe. In India, evidence of the same can be found on the monolithic sculptures of the Vishvanath Temple in Khajuraho and texts like Mahabharata and Sushrata Samahita. The acceptance and openness enjoyed by the non-hetero-normative and non-cis-gender individuals in ancient India, changed after the nations colonization. In current times, mainstream society holds heterosexual intercourse as the norm while considering same-sex relationships as deviations. Same sex relationships are a highly stigmatized and garner objections from several religious and political sects. This social stigma and erasure becomes harsher when directed toward individuals with polysexual or asexual orientations. The lack of awareness and representations garners bisexuals, pansexuals and asexuals the status of sexual minorities within the LGBTQ + community. This study makes use of three focus group discussions to explore the perception of each sexual minority regarding social equality within the Indian LGBTQ + community and outside it, alongside trying to understand the community support received by the sexual minorities in the Indian LGBTQ + community. The study uses inductive thematic analysis to draw out themes. The results indicate a predominant feeling of being misunderstood, exploited, fetishized and alienated even within the LGBTQ + community while finding solace in their own sub-communities and the online community. The results also reveal feelings expectations held by individuals from each sexual minority in terms of their desired place in society. 2024 Taylor & Francis Group, LLC. -
A social psychological investigation of Anti-nationalism in contemporary India A media analysis
The paper aims to explore the consensual and dissident social representations of anti-national that has re-entered the media lexicon in India post an alleged anti-national student protest in Jawaharlal Nehru University in the capital city of Delhi, India on February 9, 2016. The Social Representation Theory (SRT) is used to analyze the selected media reports of six daily newspapers, three each in English and Hindi language for a period of one year subsequent to the event. Results of thematic anchoring and anchoring by antinomy, a methodology used by Birgitta Hjer, are reported. The results reveal how the intergroup tensions and ideological differences in the polity constitute the conflicting social thinking on the referent. The paper has global implication for opening the possibilities of negotiation and transformation of social meanings related to nationalism and anti-nationalism. The Author(s) 2025. -
Effects of Yoga and Combined Yoga with Neuro-Linguistic Programming on Psychological Management in Mothers of Adolescents: A Randomized Controlled Trial
Adolescent parenting presents significant challenges for mothers, often leading to elevated levels of stress and anxiety that can adversely affect their well-being and parenting effectiveness. This study aims to evaluate the efficacy of yoga alone and in combination with Neuro-Linguistic Programming (NLP) in managing stress and anxiety among mothers of adolescent children. In this randomized controlled trial, 90 participants aged 35-55 years (mean age 44.564.58 years), each with at least one child aged 13-19 years, were randomly assigned to one of three groups: control, yoga, or yoga with NLP. Interventions were conducted over 12 weeks, with outcome measures assessed pre- and post-intervention by trained research assistants blinded to group allocation. The Depression, Anxiety, and Stress Scale (DASS-21), and Pittsburgh Sleep Quality Index (PSQI), were utilized to evaluate outcomes. Both intervention groups demonstrated significant reductions in depression, anxiety, and stress levels compared to the control group. The yoga with NLP group exhibited superior improvements across all primary outcomes, with statistically significant differences noted in depression (mean difference =7.1, p<0.001), anxiety (mean difference =5.1, p<0.001) and stress levels (mean difference =5.5, p<0.001). Additionally, sleep quality improved significantly in both intervention groups, with the yoga with NLP group showing greater benefits. This study provides evidence that yoga, particularly in combination with NLP, is an effective non-pharmacological approach for reducing stress and anxiety and improving sleep quality among mothers of adolescents. These findings support the integration of mind-body practices into mental health care, highlighting the potential synergistic benefits of combining physical and cognitive interventions. Future research should explore long-term effects and the mechanisms underlying these improvements. 2024 Montenegrin Sports Academy. All rights reserved. -
Do the Dragons Move Together ; Co- Integrated and Casuality Study Among Chinese Bourses- A Curious Case of Hang Seng and Shangai Stock Exchange
Al- Barkaat Institute of Management Studies, Vol. 8, Issue 3, pp. 1-8, ISSN No. 0974-7281 -
Determinants of Indian GDP growth a conundrum- A quantitative study /
International Journal Of Social and Economic Research, Vol.4, Issue 4, pp.181-192, ISSN No: 2249-6270. -
Rational bubble testing: An in-depth study on CNX nifty /
Asian Journal of Research in Banking and Finance, Vol.6, Issue 6, pp.10-16, ISSN: 2249-7323. -
Do the dragons move together; Co-integrated and causality study among chinese bourses- A curious case of Hang Seng and Shanghai stock exchange /
Al-Barkaat Journal of Finance and Management, Vol.8, Issue 2, pp.1-8, ISSN: 2229-4503. -
In search for FPI trail in blue-chip Indian bourse during a phase of rehabilitation- An investigative study /
Asian Journal of Management, Vol.8, Issue 1, pp.107-111, ISSN: 0976-495X (Print), 2321-5763 (Online). -
FRA CDS VDAX Based credit crash model: A German conundrum /
International Journal Of Economic Research, Vol.14, Issue 8, pp.221-228, ISSN: 0972-9380. -
PSU bank modeling- A comparative modeling approach involving artificial neural network and panel data regression /
Asian Journal of Research in Business Economics and Management, Vol.6, Issue 6, pp.27-36, ISSN: 2249-7307. -
Fear estimation evidence from BRICS and UK /
International Journal Of Applied Business And Economic Research, Vol.15(4), pp.195-207, ISSN: 0972-7302. -
Shariah investment in India : An unexplored opportunity /
International Journal Of Innovative Research & Development, Vol.2, Issue 12, pp.159-163, ISSN No: 2278-0211 (Online) 2278-7631 (Print) -
An analytical study to identify the depenence of BSE 100 on FII & DII activity (Study period Sept 2007 to October 2013) /
International Journal Of Business and Management Invention, Vol.3, Issue 8, pp.149-153, ISSN No: 2319-8028 (Online) 2319-801X (Print) -
BSE 100 market capitalization follows sentiment of investors or technical methods- An analytical study /
Scholarly Research Journal For Humanity Science & English Language, Vol.1, Issue 3, pp.154-158, ISSN No: 2348-3083. -
Investor confidence test for hni segment in India - A study to measure whether Indian hnis follow sentiments or technical methods /
International Journal Of Business and Management Invention, Vol3, Issue 6, pp.164-167, ISSN No: 2319-8028 (Online) 2319-801X (Print) -
An analytical study to determine the impact of CAD, REPO & WPI on the benchmark G sec of India (June 2012 to May 2014) /
International Journal Of Business Quantitative Economics And Applied Management Research, Vol.1, Issue 2, pp.193-197, ISSN No: 2349-5677.