Academic literature on the topic 'AMALGAMATION OF TCS AND CMC'

Abstract Tropical cyclone (TC) forecasts rely heavily on output from global numerical models. While considerable research has investigated the skill of various models with respect to track and intensity, few studies have considered how well global models forecast TC genesis in the North Atlantic basin. This paper analyzes TC genesis forecasts from five global models [Environment Canada's Global Environment Multiscale Model (CMC), the European Centre for Medium-Range Weather Forecasts (ECMWF) global model, the Global Forecast System (GFS), the Navy Operational Global Atmospheric Prediction System (NOGAPS), and the Met Office global model (UKMET)] over several seasons in the North Atlantic basin. Identifying TCs in the model is based on a combination of methods used previously in the literature and newly defined objective criteria. All model-indicated TCs are classified as a hit, false alarm, early genesis, or late genesis event. Missed events also are considered. Results show that the models' ability to predict TC genesis varies in time and space. Conditional probabilities when a model predicts genesis and more traditional performance metrics (e.g., critical success index) are calculated. The models are ranked among each other, and results show that the best-performing model varies from year to year. A spatial analysis of each model identifies preferred regions for genesis, and a temporal analysis indicates that model performance expectedly decreases as forecast hour (lead time) increases. Consensus forecasts show that the probability of genesis noticeably increases when multiple models predict the same genesis event. Overall, this study provides a climatology of objectively identified TC genesis forecasts in global models. The resulting verification statistics can be used operationally to help refine deterministic and probabilistic TC genesis forecasts and potentially improve the models examined.

Abstract Verification was performed on ensemble forecasts of 2009 Northern Hemisphere summer tropical cyclones (TCs) from two experimental global numerical weather prediction ensemble prediction systems (EPSs). The first model was a high-resolution version (T382L64) of the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS). The second model was a 30-km version of the experimental NOAA/Earth System Research Laboratory’s Flow-following finite-volume Icosahedral Model (FIM). Both models were initialized with the first 20 members of a 60-member ensemble Kalman filter (EnKF) using the T382L64 GFS. The GFS–EnKF assimilated the full observational data stream that was normally assimilated into the NCEP operational Global Statistical Interpolation (GSI) data assimilation, plus human-synthesized “observations” of tropical cyclone central pressure and position produced at the National Hurricane Center and the Joint Typhoon Warning Center. The forecasts from the two experimental ensembles were compared against four operational EPSs from the European Centre for Medium-Range Weather Forecasts (ECMWF), NCEP, the Canadian Meteorological Centre (CMC), and the Met Office (UKMO). The errors of GFS–EnKF ensemble track forecasts were competitive with those from the ECMWF ensemble system, and the overall spread of the ensemble tracks was consistent in magnitude with the track error. Both experimental EPSs had much lower errors than the operational NCEP, UKMO, and CMC EPSs, but the FIM–EnKF tracks were somewhat less accurate than the GFS–EnKF. The ensemble forecasts were often stretched in particular directions, and not necessarily along or across track. The better-performing EPSs provided useful information on potential track error anisotropy. While the GFS–EnKF initialized relatively deep vortices by assimilating the TC central pressure estimate, the model storms filled during the subsequent 24 h. Other forecast models also systematically underestimated TC intensity (e.g., maximum forecast surface wind speed). The higher-resolution models generally had less bias. Analyses were conducted to try to understand whether the additional central pressure observation, the EnKF, or the extra resolution was most responsible for the decrease in track error of the experimental Global Ensemble Forecast System (GEFS)–EnKF over the operational NCEP. The assimilation of the additional TC observations produced only a small change in deterministic track forecasts initialized with the GSI. The T382L64 GFS–EnKF ensemble was used to initialize a T126L28 ensemble forecast to facilitate a comparison with the operational NCEP system. The T126L28 GFS–EnKF EPS track forecasts were dramatically better than the NCEP operational, suggesting the positive impact of the EnKF, perhaps through improved steering flow.

Corporate restructuring is redesigning of business. It can be done through expansion techniques, divestment techniques and many other techniques. Expansion techniques includes Merger and acquisition, takeovers, strategic alliances, joint ventures while divestment techniques includes methods such as demergers, hive off, slump sale, leverage buyout, management buyout or liquidation. Merger means consolidation of two or more companies into one company, whereas in acquisition one company acquires another one. The motive behind mergers and acquisition is to create synergies. Here the focus is on IT companies. IT is always a booming sector. Information technology is used in all sectors nowadays, that’s why it is considered as backbone of all sectors. The main aim of present paper is to analyze the impact of merger and acquisition on financial performance of the IT companies in India. The paper presents the case of merger and acquisition of TCS and CMC. The data is collected from secondary sources. These have been collected from companies official website, Bombay stock exchange, journals, articles and online available sources. Financial ratios were employed for data analysis. The finding indicates that there is no significant improvement is observed.

The objective of the study is to examine the impact of Acquisitions on financial status of selected software companies in India. This study is based on Infosys, Panaya, CMC and TCS companies. It also estimates the pre and post-acquisition financial position of companies using financial parameters like Earning per share, Dividend per share, Return on Assets and Net Profit Margin. The period of study is for 6 years which is divided into 3 years for pre-acquisition and 3 years for post-acquisition performance. The data of Acquisitions has collected based on the financial parameters, Paired T-test has used for finding the statistical significance effect and to estimate their performance on merged companies. As the critical value is greater than the calculated value i.e. -2.919>-6.679, Rejected the Null hypothesis, i.e. there is a major difference between performance of pre and post merger as per earning per share. As the calculated value is greater than critical value i.e. 3.64 >2.919, accepted the Null hypothesis, i.e. there is no major difference in the Earning per Share. The terminal goal behind acquisition is to achieve growth in business. A well-analysed and the authentic plan will dramatically improve the chances of getting new implements to be in a competitive world. The strategic partnership of TCS-CMC and INFOSYS- PANAYA will provide few guidance for traditional players.

Even though mergers and acquisitions (M&A) have been an important element of corporate strategy all over the globe for several decades, research on M&A’s has not been able to provide conclusive evidence on whether they enhance efficiency or destroy wealth. There is thus an ongoing global debate on the effects of M&A’s on firms. Mergers and acquisitions have become common in India today just like global market. However, very little appears to be known about the long-term post-merger performance of firms in India, and the strategic factors that affect this performance. This projects aims to study some general principals of M&A and discuss two different cases:  Amalgamation between TCS & CMC  Acquisition of Jaguar and Land Rover by Tata Motors It has been noticed in past few decades that most of the M&A do not succeed and after initial years of post-merger or post-acquire, the synergy breaks up and corporation choose to demerge. It is up-most important for any organization to give equal advantage to culture associated with M&A and not just financial benefit. Amalgamation of TCS and CMC provide required information on valuation, financial studies, laws and analysis, and on the other hand acquisition of Jaguar\Land Rover by Tata Motors emphasis on the impact of culture for a successful M&A. Valuation is the process of estimating the market value of a financial asset or liability. Valuations can be done on assets (for example, investments in marketable securities such as stocks, options, business enterprises, or intangible assets such as patents and trademarks) or on liabilities (e.g., Bonds issued by a company). Valuations are required in many contexts including investment analysis, capital budgeting, merger and acquisition transactions, financial reporting, taxable events to determine the proper tax liability, and in litigation. Despite the clear linkage between culture and deal success, many organizations fail to even track culture and other people-related metrics as part of their overall transaction metrics. Although nearly 80% of respondents in our study track formal measures of deal success, a significantly lower number track culture alignment (44%) as well as some of the other key people-related metrics that the survey has shown to be directly related to culture alignment. Given the significant influence of culture on deal success, it clearly is a topic that leaders cannot afford to ignore during a deal.