Permutation entropy and statistical analysis of the historical evolution of the Mexican stock market index

The objective of this work is to analyze the Indice de Precios y Cotizaciones (IPC), which is the Mexican stock market index, by using several statistical tools in order to study the tendencies that can shed light on the evolution of the IPC towards a more efficient market. The methodology used is to apply the statistical tools to the Mexican index and compare the results with a mature and well-known market index such as the Dow Jones Industrial Average (DJIA). We employ an autocorrelation analysis, and the volatility of the indexes, applied to the daily returns of the closing price on a moving time window during the studied period (1980–2018). Additionally, we perform an order three permutation entropy analysis, which can quantify the disorder present in the time series. Our results show that there is evidence that the IPC has become more mature since its creation and that it can be considered an efficient market since around year 2000. The behavior of the several techniques used shows a similar behavior to the DJIA which is not observed before that year. There are some limitations mainly because there is no high frequency data that would permit a more detailed analysis, specifically in the periods before and after a crisis is located. Our conclusion is that since around the year 2000, the Mexican stock index displays the typical behavior of other mature markets and can be considered as one.

Productivity Evaluation in Function of Worker Psychosocial Factors

Workers are exposed to different factors that can be detrimental to their well-being, being the most known safety and hygiene factors. A few years ago, the concepts of harmful factors for workers were updated by adding the psychosocial factors. Although there is literature on psychosocial factors and their effect on health, this work focused specifically on seeking the relationship between productivity and psychosocial factors to know how it impacts the organization. The investigation was applied in a case study for a doorknob locks manufacturing company in its final assembly area. Data collection was done by applying the questionnaire provided by NOM-035-STPS-2018 and the company's productivity databases for the subsequent analysis using statistical tools. The results were that, for the violence factor, its correlation with productivity was R2 = 0.8886, indicating a strong correlation with which it is concluded that there is an influence on productivity.

Application of Multiple Regression and Artificial Neural Networks as Tools for Estimating Duration and Life Cycle Cost of Projects

Project managers face complex challenges when planning project stages because contract durations and project costs are difficult to predict accurately. The purpose of this study is to investigate statistical tools and concepts that can be integrated in the second phase of the project life cycle: the planning stage. Furthermore, this study aims to compare the accuracy of multiple regression and artificial neural network models, as well as the application of simulation in construction models used in predicting project duration and cost. This paper will also discuss the industry's current estimation methods, the use of statistical approaches, simulation, and the relationship between the application statistical tools and project success. Thus, this review identifies the trending statistical tools used by scholars to develop regression and neural models to solve the complexity of cost and duration estimation. The findings indicate that although the industry needs more accurate predictions and estimating tools, and regardless of the investigations and advancements made with integrating statistical tools, implementing these statistical approaches is faced with barriers.

Application of Statistics in Human Resource Management

The chapter gives an outline of the shift in HRM from being intuitive to quantitative in its decision making and overall functioning. The role of HRM is transforming with application of statistical techniques that make HR more evidence based and accountable. The chapter will discuss some successful applications of statistical techniques, basic and, in HRM by renowned organizations worldwide as well as elucidate upon some of the most applied statistical techniques. After reading this chapter learner will appreciate the need for applying Statistics in HRM, have an understanding of the avenues for application of statistical tools and get an outline of the various statistical techniques that are appropriate for different HR functions.

Statistical Tools Driven Science Policy Interface for Strengthening Biodiversity and Ecosystem Services

In lieu of ever so evolving landscapes, there is a constant pressure on biodiversity and the myriad of ecosystem services it offers. In order to strengthen science policy interface for biodiversity and ecosystem services for conservation of human well-being, nexus between biodiversity and conservation and sustainable development varied statistical tools are applied. Science policy interface with the Science Based Target Initiative is a evolving landscapes in ecosystem based restoration framework. Aligning it with statistical tools further adds to dynamics for ecosystem management. The statistical tool includes : Good Quality of Life (GQL) = Human Wellbeing and factor is under pressure and indicated as P* - Percentage of undernourished populace ; Nature Contributions to People (NCP) = Ecosystem Goods Services - impacted where in two factors are considered – being at risk, not at risk, unknown level of risk extinction.

A STUDY ON DOMESTIC INSTITUTIONAL INVESTMENTS AND ITS IMPACT ON MEJOR SECTORS OF ECONOMY

India is a developing economy, which has undergone a series of developmental events in last two years. Covid -19 Pandemic has created a lot of challenges across various sectors of the economy. Major sectors of the economy has underwent a series of changes during this phase. IT industries adopted work from home as a long-term cost cutting strategy bringing in necessary changes in work culture. The government has also made all the possible efforts to keep up the phase of development in spite of the challenges posed by the pandemic. Pandemic gave a new dimension to the Indian stock market as many DII & FII became active leading to the further growth of the market in spite of the pandemic.The paper attempts to identify Impact of DIII in the Indian Stock Market. An attempt is made to study the relationship between Selected Nifty Indices movements, DII Inflow/Outflow, by evaluating their investments in equity, Debt and Future& Options segments by applying Statistical Tools. Thus,overall impact of these Players on the Stock Market & Economy is studied. Paper concludes suggesting the measures to identify the major players and empower them as it is necessary tobuild future developing India.

Proposals to improve the coaxial cable assembly process in an aerospace company

For any company it is of utmost importance to have quality processes and products to deliver to its customers and that they are satisfied with them. In the same way, take care of your economy and the expenses that you have for this. This project revolves around the quality that is presented in the products. In the company under study there was a problem specifically in the area of coaxial cable assembly, in which a considerable number of defects were identified from the electrical and continuity test. To solve the problem, the objective is to develop an improvement proposal that helps to minimize the defects found in the aforementioned area. Regarding the applied method, the modified Six Sigma DMAIC procedure was followed. Statistical tools were used to analyze the results obtained, to have evidence of their behavior for the problem posed and that the best decision could be made to improve the coaxial cable assembly process. Having as a main result a proposal to improve the coaxial cable assembly process which will significantly reduce the defects generated in the electrical and conductivity test.

The Role of Employees Empowerment Strategy in Crisis Management: Applied Study in Public Company of Electrical Industrial

The current research aims to test the relationship linkage and the effect between the employees empowerment strategy and crisis management, the problem of the research is the role of employees empowerment strategy in crisis management in the state company of electrical industry. A questionnaire was used in data collection depending on the distribution of (58) questionnaire to the research sample. Data were analyzed using (SPSS) program. Using a number of statistical tools to test the research hypothesis. The research came out with a set of conclusions, one of the most important thinks was that there is a linkage and impact relation between employees empowerment strategy, it's variables (Information sharing, Freedom and autonomy, Replace hierarchical structure with self-employment teams) and crisis management as a whole. The research came out with many suitable recommendations.

Computing Correlation among the Graphs under Lexicographic Product via Zagreb Indices

A topological index (TI) is a numerical descriptor of a molecule structure or graph that predicts its different physical, biological, and chemical properties in a theoretical way avoiding the difficult and costly procedures of chemical labs. In this paper, for two connected (molecular) graphs G 1 and G 2 , we define the generalized total-sum graph consisting of various (molecular) polygonal chains by the lexicographic product of the graphs T k G 1 and G 2 , where T k G 1 is obtained by applying the generalized total operation T k on G 1 with k ≥ 1 as some integral value. Moreover, we compute the different degree-based TIs such as first Zagreb, second Zagreb, forgotten Zagreb, and hyper-Zagreb. In the end, a comparison among all the aforesaid TIs is also conducted with the help of certain statistical tools for some particular families of generalized total-sum graphs under lexicographic product.

Impact of Budget on Indian Share Market

This paper seeks to study the impact of budget on share market. The method of study was descriptive research. To study the impact is measured in average return by using the event window of Pre-Budget and Post-Budget of 30 Days and the data has been collected for the 18thDecember 2020 to 1stFebruary 2021 &2ndFebruary 2021 to 16thMarch 2021 (excluding Saturday, Sunday and Festival) and the statistical tools used are T-Test Paired, two sample for means on return are calculated by using the formula. The most probably there is not impact on budget on share market because at the same time there is other factors are also present in the market. The implication of this paper is that the investor should not only consider one factor and one event window because there is other factor present with affect the share price at the same time and by using the more than one event window. so, investor come to know a which period they will get a more returns so investor should use either one factor and multiple event window or take multiple factor and one event window. It gives more clear and accurate result. Company Name & Return Pre-Budget Budget-Day Post-Budget XYZ X1 X X2 Here we have taken the 10 companies return of pre-budget and post- budget. On the basis of this we will further analyse that investor should invest in which companies.