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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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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. -
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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. -
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Investigation on Mechanical and Durability Properties of Geopolymer Concrete with Ground Granulated Blast Furnace Slag Incorporating Sugarcane Bagasse Ash
This study deals with strength, durability, elevated temperature behaviour, cost, energy and carbon efficiency of sustainable GPC developed with GGBS and SCBA. Sodium hydroxide (NaOH) of 8M, 10M, and 12M and sodium silicate (Na2SiO3) were used as alkaline activators with sodium silicate to sodium hydroxide ratio being 2.5. Fifteen different binary blend GPC mixtures were prepared by varying SCBA content (0%, 5%, 10%, 15% and 20% by mass of precursor) and also by varying molarity of NaOH by 8M, 10M and 12M. The developed GPC's fresh, hardened, microstructural, and correlation characteristics have all been assessed. Various tests such as the slump cone test, Cs, Sts, Fs, and UPV test were conducted. SEM, Edax, and XRD analysis were examined for understanding the microstructural characteristics. For a target strength of 40 MPa, the GPC produced with 20% SCBA and 80% GGBS with an 8M NaOH solution and an SS/SH ratio of 2.5 can be utilized. The reason for the development of higher strength in higher molarity of GGBS-SCBA based GPC specimens is clearly shown by SEM micrographs, which indicate a dense and packed matrix. The presence of CASH gel confirmed this in the GP matrix. Durability studies such as rapid chloride permeability, sorptivity and early and long-term effect of sulphate attack were conducted on GGBS-SCBA based GPC. Also elevated temperature behaviour of GPC specimen subjected to different temperatures of 200?C, 400?C, 600?C and 800?C were studied to evaluate the strength, mass loss and effect on microstructures due to elevated temperature. The degradation of geopolymer concrete at different elevated temperatures was observed by SEM, Edax, XRD and FTIR. From the test findings it is noticed that the GPC developed have good durability characteristics. It is also noticed that geopolymer concrete retains more than 50% of strength up to a temperature of 600 ?C. From scanning electron microscope analysis of GPC developed with GGBS and SCBA, it is found that there are larger crack formations and pores which are visible in the geopolymer concrete matrix when the specimens are exposed to an elevated temperature of 800?C which confirms the degradation of C-A-S-H gel in the GPC mixtures developed. Additionally, incorporation of sugarcane bagasse ash in GPC will reduce disposal problems and also carbon dioxide emission. -
Study of triple diffusive convection in non newtonian liquids
This thesis presents the study of triple diffusive convection in two nonNewtonian liquids couple stress liquid and viscoelastic liquid of type Oldroyd-B in the presence of external constraints like rotation, gravity modulation and temperature modulation. Linear stability analysis provides the stability condition of stationary and oscillatory convection and the resultant eigen function describes the newlineconvective flow. However, linear analysis can neither help to examine the rate newlineof heat and mass transfer nor provides information on the convection newlineamplitudes. Therefore, it is also important to do nonlinear analysis. In view of newlinethis, all the problems considered in this thesis are studied for both linear and newlinenonlinear cases. The eigen value arising in the linear case for the problems newlinewithout modulation is solved by normal mode technique whereas for the problems with modulation is solved by perturbation method by adopting Venezian approach. The nonlinear study is done by using Ginzburg Landau newlinemodel for the problems with couple stress liquid whereas the nonlinear study is done by truncated representation of Fourier series by Lorenz model for the problems with viscoelastic Oldroyd-B liquid. The present study has wide range of applications in material processing, solidification of alloys, underground spreading of chemical pollutants, petroleum reservoirs, cooling of electronic devices, thermal insulation newlinematerial, crystal growth, transport of chemical substances, solar receivers, newlineinjection moulding, chemical industries, nuclear industries, bioengineering, newlineoceanography, meteorology, astrophysics, geophysics and so on. The extensive description of wide-ranging applications of triple diffusive convection in non-Newtonian liquids is accountable for the motivation of this thesis. The following four problems are carried out in this thesis: (i) EFFECT OF ROTATION ON TRIPLE DIFFUSIVE CONVECTION IN COUPLE STRESS LIQUID The effect of rotation on triple diffusive convection in couple newlinestress liquid is considered. -
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Real-time architectural efforts in building a social network using NOSQL databases
Relational database management systems (RDBMS) today are the predominant technology for storing structured data in web and business applications. Along with the increasing size of the datasets, the number of accesses and operations performed increases. This growth, enhanced by the proliferation of social networks, led to a depletion of traditional relational databases that were commonly used to solve a wide range of problems. -
Duplex functionally graded and multilayered thermal barrier coatings based on 8% yttria stabilized zirconia and pyrochlores
Thermal Barrier Coatings (TBCs) protect gas turbine engine metal components while they serve in a high temperature environment (upto 1200℃). 8% YttriaStabilized Zirconia (8YSZ) is the current state of the art material for TBCs. Typically, 250 to 500 μm (upto 2 mm) thick TBCs can lower the metal temperature by upto 150°C than the service temperature and thereby enhance life to the components. 8YSZ TBCs however, suffer from (a) increased sinterability, (b) phase de-stabilization and (c) poor adhesion with time in service at high temperature. In order to facilitate longer engine running time, research is being directed towards finding (i) newer materials that do not possess these deficiencies or (ii) configurations that can overcome them. In order to further improve the performance efficiency of the engines, TBC materials with extended thermal fatigue life at higher than current service temperatures (>1100℃) are also being actively investigated. In the same area of research, this thesis presents the findings of work on air plasma sprayed (i) duplex, (ii) functionally graded and (iii) multilayered configurations of TBCs synthesized from commercial 8YSZ and lab synthesized pyrochlore (lanthanum zirconate, lanthanum cerate and lanthanum cerium zirconate) compositions with NiCrAlY bond coat.
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Electrochemical Synthesis of Carbocyclic and Heterocyclic Motifs
Programmability has left its mark on every facet of business, with technology playing newlinean integral role. Social networking industry trends underscore technology s ubiquity in newlinenearly every business transaction. Traditional networks grapple with numerous challenges, rendering them ill-equipped to process and handle the demands of the modern newlinelandscape effectively. The lack of programming in these networks leads to stagnation, newlineinhibiting their ability to evolve or enhance performance. The advent of Software Defined Networks (SDN) has introduced increased flexibility into conventional networks, newlineopening avenues for creating innovative services. newlineSDN technology addresses challenges in large-scale networks, offering solutions for newlinehigh throughput, virtualization, fault detection, and load balancing, providing effective network management. The rapid expansion of network services and applications newlinein SDN environments demands sophisticated load-balancing solutions that adapt to newlinedynamic traffic patterns and varying service requirements. This study presents a pioneering algorithm, the Dynamic Load Balancing Algorithm (DLBA), which utilizes the newlineProgramming Protocol-independent Packet Processors (P4) language. The algorithm is newlinespecifically crafted to tackle the issues associated with optimizing traffic distribution in newlinethe data plane of SDN. newlineP4 programming language, recognized as one of the most robust languages, addresses newlinethe limitations of traditional networking, enhancing programmability and agility by newlinedistributing the load across the network. The research implements a novel quotDynamic newlineLoad Balancing Algorithmquot using the P4 language to instill dynamism and achieve load newlinebalance in large-scale networks. The P4-based implementation showcases dynamicity, scalability, flexibility, and adaptability. This research commences with thoroughly newlineexamining existing load-balancing algorithms implemented using the P4 language, followed by a comparative analysis between these algorithms and DLBA. -
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Design and Development of Dual Fuzzy Technique to Optimize Job Scheduling and Execution Time in Cloud Environment
Cloud computing is a type of computing that relies on sharing a pool of computing resources, rather than deploying local or personal hardware and software. It enables convenient, on-demand network access to a shared pool of configurable computing re- sources (e.g., applications, storage, networks, services, and servers) that can be swiftly provisioned and released with minimal management control or through the interaction of the cloud service provider. The increasing demand for computing resources in the cloud has made elasticity an important issue in the cloud. The availability of extending the resources pool for the user provides an effective alternative to deploying applications with high scalability and processing requirements. Providing a satisfactory Quality of Service (QoS) is an important objective in cloud data centers. The QoS is measured in terms of response time, job completion time and reliability. If the user jobs cannot be executed in high load and the job is crashed, it will enormously increase the response time and also push up the job completion time. Also due to load, the jobs may be still in the waiting queue and could not find a resource to execute. In such a situation, the user notices a big response delay and it will affect the QoS. Towards ensuring QoS, this research proposes the following solution - Dual Fuzzy Load Balancing for jobs. Dual Fuzzy Load Balancing balances the load in the data center with an overall goal of reduction of response and execution time for tasks. The proposed solutions were simulated in the Cloudsim simulator and performance metrics in terms of job response time, job completion time, resource utilization, a number of SLA violations, and along with the cost comparison to the existing algorithms of Load Balancing. The proposed solutions are also implemented in a real cloud environment and the effectiveness of the solution is evaluated.