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.

Drivers of Spatial Heterogeneity in the Russian Forest Sector: A Multiple Factor Analysis

This study explored the regional differences in the forest industry and management via a Multiple Factor Analysis approach. The dataset used comprises all Russian regions and 34 variables that comprehensively describe the situation in the sector. Based on the Multiple Factor Analysis, the variables contributing most to the spatial heterogeneity in Russian forestry were divided into industrial and forestry factors. The regions leading in the development of the timber industry are mainly located in the Northwestern and Southeastern parts of Russia. They show similarities in high logging volumes, investment attractiveness, and competitiveness in foreign markets. However, a divergence was found between the Northwestern regions and the Siberian and the Far East territories in terms of forest management factors. The Western part of Russia benefits from the density of the population and infrastructure, and proximity to the national financial centers and European markets. By comparison, Asian Russia suffers from labor shortages caused by negative demographic trends and the negative consequences of climate change, resulting in an increase in forest losses and a lack of control, finance, and transport accessibility due to the vast territory. To alleviate regional inequalities, we propose the introduction of private ownership of forests, support for investment projects, and human capital development.

Differential evolution algorithm-based multiple-factor optimization methods for data assimilation

The methods of searching for optimized parameters have substantial effects on the forecast accuracy of ensemble data assimilation systems. The selection of these factors is usually performed using trial-and-error methods, and poor parameterizations may lead to filter divergence. Combined with the local ensemble transform Kalman filtering method (LETKF), a technique for an automated search of the best configuration (parameters) of a data assimilation system is proposed. To obtain better assimilation, a differential evolution (DE) algorithm-based multiple-factor parameterization method results in the corresponding circumstances. By combining with fast-searching DE algorithms, we may retrieve the most ideal parameter combinations. Several numerical experiments performed with the Lorenz-96 model show that new methods performed better than the original one-parameter optimization methods. As the basis of DE methods, the best combinations of the local radius and the covariance inflation parameter, which can guarantee the best DA performances in the corresponding circumstances, are retrieved. It is found that the new method is capable of outperforming previous search algorithms under both perfect and imperfect model scenarios, and the calculation cost in Lorenz-96 model is lower. However, how to apply the new proposed method to more complex atmospheric or land surface models requires further verification.

Performance of Polyvinyl Alcohol/Bagasse Fibre Foamed Composites as Cushion Packaging Materials

This work was designed to determine the mechanical properties and static cushioning performance of polyvinyl alcohol (PVA)/bagasse fibre foam composites with a multiple-factor experiment. Scanning electron microscopy (SEM) analysis and static cushioning tests were performed on the foamed composites and the results were compared with those of commonly used expanded polystyrene (EPS). The results were as follows: the materials had a mainly open cell structure, and bagasse fibre had good compatibility with PVA foam. With increasing PVA content, the mechanical properties of the system improved. The mechanical properties and static cushioning properties of the foam composite almost approached those of EPS. In addition, a small amount of sodium tetraborate obviously regulated the foaming ratio of foamed composites. With increasing sodium tetraborate content, the mechanical properties of foamed composites were enhanced. The yield strength and Young’s modulus of the material prepared by reducing the water content to 80.19 wt% were too high and not suitable for cushioned packaging of light and fragile products.

Risk Factors For Long-Term Survival in Patients With ypN+M0 Rectal Cancer After Radical Anterior Resection

Background: Regional lymph node metastases are the main adverse prognostic factor in patients with rectal cancer without distant metastases. There are discrepancies, however, regarding additional risk factors in the group of ypN+M0 patients.The purpose of the study was to assess clinical and pathological factors affecting long-term oncological outcomes in the group of ypN+M0 patients after radical rectal anterior resection.Methods: 112 patients with ypN+M0 rectal cancer after neoadjuvant therapy and radical anterior resection were subject to a retrospective analysis. The effect of potential factors on survival was assessed with the use of Kaplan-Meier curves together with a log-rank test and multiple factor Cox proportional hazards model.Results: In the multiple factor Cox analysis, adverse factors affecting OS were: the use of angiotensin-converting enzyme inhibitors (ACEIs) (HR: 3.059, 95% CI: 1.349-6.934, p= 0.007) and past <=3 cycles of adjuvant chemotherapy (HR: 2.833, 95% CI: 1.289-6.229, p= 0.01). For DFS, significant adverse factors were: the use of ACEIs (HR: 3.11, 95%CI: 1.01-9.56, p= 0.047), presence of perineural invasion (HR: 7.27, 95% CI: 2.74-19.3, p< 0.001) and occurrence of postoperative complications (HR: 6.79, 95% CI: 2.09-22.11, p= 0.001), while a positive factor was the negative lymph node (NLN) count >7 (HR: 0.33, 95% CI: 0.12-0.88, p= 0.026). Conclusions: The use of ACEIs may have a negative effect on long-term treatment outcomes in patients with ypN+M0 rectal cancer. In this group of patients, the NLN count seems to be an important prognostic factor, as well.

Symplectic-Structure-Preserving Uncertain Differential Equations

Uncertain differential equations are important mathematical models in uncertain environments. This paper investigates uncertain multi-dimensional and multiple-factor differential equations. First, the solvability of the equations is analyzed. The α-path distributions and expected values of solutions are given. Then, structure preserving uncertain differential equations, uncertain Hamiltonian systems driven by Liu processes, which possess a kind of uncertain symplectic structures, are presented. A symplectic scheme with six-order accuracy and a Yao-Chen algorithm are applied to design an algorithm to solve uncertain Hamiltonian systems. At last, numerical experiments are given to investigate four uncertain Hamiltonian systems, which highlight the efficiency of our algorithm.

On the Appropriateness of Using the Concept of «Competitiveness»

Changes happening in the internal and external business environment in the 21st century intensify the need for improving approaches to the evaluation of effectiveness of economic entities on different levels of economic analysis: micro, meso and macro. Although there is a significant theoretical background, the most common category for an assessment of the condition of an economic entity in the economic theory is «competitiveness», which was proposed by Adam Smith. Starting from the second half of the 20th century, specialists have been using this term for characterizing efficiency of individuals, cities, industries, regions and countries. Today, academics have developed unique ideas about the content of this category: methods of assessment of the reached level; factors which influence the category on different levels of economic analysis. However, the paradox is that the theoretical foundation cannot solve practical problems and answer relevant questions. In the article, the authors try to show that making the term «competitiveness» unified is unreasonable, it is based on factual material and opinions of national and foreign researchers. The authors formulate a hypothesis about the necessity of terminological disintegration while making multiple factor analysis: identifying independent groups of phenomena all of which are responsible for a specific condition type of a subject / object.