Twitter Based Capital Market Analysis Using Cloud Statistics

Author(s):  
Sangeeta Gupta ◽  
Rajanikanth Aluvalu

People in the modern world are attracted towards smart working and earning environments rather than having a long-term perception. The goal of this work is to address the challenge of providing better inputs to the customers interested to investing in the share market to earn better returns on investments. The Twitter social networking site is chosen to develop the proposed environment as a majority of the customers tweet about their opinions. A huge set of data across various companies that take inputs from Twitter are processed and stored in the cloud environment for efficient analysis and assessment. A statistical measure is used to signal the worth of investing in a particular stock based on the outcomes obtained. Also, rather than ignoring the missing values and unstructured data, the proposed work analyzes every single entity to enable the customers to take worthy decisions. Tweets in the range of 1 to 100,000 are taken to perform analysis and it is observed from the results that for a maximum of 100,000 tweets, the number of missing is identified as 2,524 and the statistical measure to fill in the missing values is calculated based on the particular missing data record, the count of all data records, and the total number of records. If the outcome of the measure is obtained as a negative, then proceeding with an investment is not recommended. The findings of this work will help the share market investors to earn better profits.

Author(s):  
Sangeeta Gupta ◽  
Rajanikanth Aluvalu

People in the modern world are attracted towards smart working and earning environments rather than having a long-term perception. The goal of this work is to address the challenge of providing better inputs to the customers interested to investing in the share market to earn better returns on investments. The Twitter social networking site is chosen to develop the proposed environment as a majority of the customers tweet about their opinions. A huge set of data across various companies that take inputs from Twitter are processed and stored in the cloud environment for efficient analysis and assessment. A statistical measure is used to signal the worth of investing in a particular stock based on the outcomes obtained. Also, rather than ignoring the missing values and unstructured data, the proposed work analyzes every single entity to enable the customers to take worthy decisions. Tweets in the range of 1 to 100,000 are taken to perform analysis and it is observed from the results that for a maximum of 100,000 tweets, the number of missing is identified as 2,524 and the statistical measure to fill in the missing values is calculated based on the particular missing data record, the count of all data records, and the total number of records. If the outcome of the measure is obtained as a negative, then proceeding with an investment is not recommended. The findings of this work will help the share market investors to earn better profits.


2018 ◽  
pp. 125-141 ◽  
Author(s):  
S. M. Drobyshevsky ◽  
P. V. Trunin ◽  
A. V. Bozhechkova

The paper studies the factors of secular stagnation. Key factors of long-term slowdown in economic growth include the slowdown of technological development, aging population, human capital accumulation limits, high public debt, creative destruction process violation etc. The authors analyze key theoretical aspects of long-term stagnation and study the impact of these factors on Japanies economy. The authors conclude that most of the factors have significant influence on the Japanese economy for recent decades, but they cannot explain all dynamics. For Russia, on the contrary, we do not see any grounds for considering the decline in the economy since 2013 as an episode of secular stagnation.


Author(s):  
Oksana Gaiduchok ◽  
◽  
Oleksiy Stupnytskyi ◽  

In modern times, it is believed that by reducing the risk of military intervention, military security has lost its relevance, and economic security has become a priority of national interests. The principle of economic security is as follows: national interests are supported through an economic system that supports free exchange and ensures the upward mobility of the nation. The analysis of economic security is based on the concept of national interests. It is well known that the problem of national security and its components cannot be considered only from the standpoint of current interests; it is closely related to the possibilities of their implementation over a significant, long-term period. Each stage of realization of national interests of the country is characterized by its assessment of its geopolitical, geostrategic and geoeconomic conditions, security threats and the main carriers of these threats, the mechanism of realization of national interests (each of the stages has its own assessment of the main definitions and categories of security, the main vectors of geoeconomic policy). Economic security is the foundation and material basis of national security. A state is in a state of security if it protects its own national interests and is able to defend them through political, economic, socio-psychological, military and other actions. There is a close connection between economic security and the system of national and state interests, and it is through this category that the problems of economic potential and economic power of the state, geopolitical and geoeconomic positions of the country in the modern world are intertwined. At a time when regional forces are trying to expand markets, provide access to finance and the latest technology, economic security has become a necessary component of the ability of regional forces to expand their influence. The article is devoted to the study of economic security of Ukraine and its components using the model of quantitative assessment of economic security of Ukraine. Using the Fishburne method, a model is built that allows to obtain an integrated assessment of the level of economic security based on the synthesis of nine partial indicators.


Author(s):  
P. Bala Bhaskaran

The case is structured around the takeover of Mindtree Ltd (ML) by Larsen & Toubro Ltd (L&T) in June 2019. ML was founded and nurtured by a group of software professionals. In two decades, it had blossomed into an enterprise with global presence, US$ 1 billion turnover and a unique organizational culture. In a strange sequence of events, more than 20% of ML’s shares landed in L&T’s lap. L&T grabbed this opportunity and ran a systematic campaign to acquire the company. In about 100 days, L&T achieved its objective and got into the driver’s seat. The case traces the evolution of ML from a start-up to a publicly held company with global standing. It examines the circumstances and events leading to L&T getting the initial stake in the company; it examines the acquisition campaign of L&T and the response of the top management of ML. Research Questions Was there a strategic fit between ML and L&T? Were the capital market processes just and fair to all the stakeholders involved in the acquisition? Was L&T fair, prudent and sensitive in the acquisition process? Was Siddhartha loyal and fair to the founders of ML? Link to Theory The theoretical concepts that would enable a better comprehension of the case are: Analysis of strategic fit in M&A situations Capital market: Theory and practice Strategy for corporate control of an enterprise Significance of culture and ecosystem in knowledge organizations Phenomenon Studied Leadership styles relevant at different stages of evolution of an enterprise are different. A leader, at a given point of time, is successful when he is able to match his aspirations with the leadership needs of the enterprise at that point of time. The case can be used to demonstrate this phenomenon. Case Context Context of the case is that of an emerging infotech enterprise, coming under corporate raid and the unfolding capital market processes. The case highlights the shortcomings of the co-founders, leading to their unseating as also the sensitivity of the incoming management in handling the transition. Findings The case demonstrates the ability of the capital market to be fair to all stakeholders ensuring reward for competence and punishment for sloppiness. The case emphasizes the need for co-founders to have an effective strategy for corporate control; only then they could hope to achieve the long-term objectives. The case also illustrates the significance of sensitivity in handling softer issues like people and ecosystem in ensuring long-term success. Discussions At the outset, the case may appear to be that of a big fish swallowing a small fish. But a closer scrutiny would reveal the multiple dimensions of the case. Consider the role of Siddhartha. He seeded the idea of the company; he was a financier to it; he remained an investor in the company longer than most of the founders; when he pulled out, the co-founders could not hold the company together. Neither Siddhartha nor the co-founders had the far-sightedness to consolidate their shareholdings for effective control of the company into the future. This would trigger discussions on the differing roles of technocrats, managers, leaders and founders. Another point worthy of discussion would be: How were the co-founders choosing their leaders? Was it by rotation among themselves, or did they engage a set of criteria to identify an incumbent capable of leading a global company?


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 805.2-805
Author(s):  
D. A. J. M. Latijnhouwers ◽  
C. H. Martini ◽  
R. G. H. H. Nelissen ◽  
H. M. J. Van der Linden ◽  
T. P. M. Vliet Vlieland ◽  
...  

Background:Chronic pain is a frequently reported unfavourable outcome of total hip and knee arthroplasties (THA/TKA) (7-23% and 10-34%, respectively) in osteoarthritis (OA) patients (1), which is difficult to treat as underlying mechanisms are not fully understood. Acute postoperative pain has been identified as risk factor for development of long-term pain in other surgical procedures, such as mastectomy and thoracotomy (2). However, the effect of acute postoperative pain on development of long-term pain in THA and TKA patients is unknown.Objectives:To investigate if acute pain following THA/TKA in OA patients is associated with long-term pain and if acute pain affects the course of pain up to 1-year postoperatively.Methods:From a longitudinal multicenter study, OA patients scheduled for primary THA or TKA were included. Acute pain scores, using Numeric Rating Scale (NRS), were routinely collected as part of standard care (≤72 hours after surgery). In case of ≥2 NRS scores the two highest scores were averaged (n=160), else the single score was taken. Pain was dichotomized into severe (NRS≥5) and mild (NRS<5). Pain was assessed preoperatively, at 3 (only THA), 6 and 12 months postoperatively using HOOS/KOOS subscale pain. Separate mixed-effect models for THA and TKA patients were used, with dichotomized acute pain as fixed-effect and long-term pain as outcome, while adjusting for confounders (age, sex, BMI, preoperative pain, mental component scale of the SF12 (MCS-12), and duration of the surgery and hospitalization). We included an interaction between time of measurement and acute postoperative pain to analyse whether effect modification was present. Missing values in preoperative pain and MCS-12 were imputed using multiple imputation methods.Results:81 THA and 87 TKA patients were included, of whom 32.1% and 56.3% reported severe acute pain. The results did not show an associated between severe acute pain and long term pain (THA: β=2.0, 95%-CI:-10.9-7.0; TKA: β=3.8, 95%-CI:-10.6-2.9). Furthermore, It seems that there is no effect present of difference in severity of acute pain and the course of pain over time (THA 6-months: β=6.4, 95%-CI:1.9-10.9 and 12-months: β=0.2, 95%-CI:-4.4-4.8; TKA 12-months: β=3.2, 95%-CI:-0.5-6.8).Conclusion:We did not find an association between acute pain and the development of long-term pain nor that severity of acute pain affects the course of postoperative pain in THA and TKA patients. The fact that THA and TKA patients often experience chronic preoperative pain might be a possible explanation for this finding. Nonetheless, future studies including additional measures of acute pain and pain sensitization in patients with chronic preoperative pain are necessary to draw stronger conclusions.References:[1]Beswick AD, Wylde V, Gooberman-Hill R, Blom A, Dieppe P. What proportion of patients report long-term pain after total hip or knee replacement for osteoarthritis? A systematic review of prospective studies in unselected patients. BMJ open. 2012;2(1):e000435.[2]Katz J, Seltzer Ze. Transition from acute to chronic postsurgical pain: risk factors and protective factors. Expert review of neurotherapeutics. 2009;9(5):723-44.Acknowledgments:We would like to thank the study group that consists of: B.L. Kaptein, Leiden University Medical Center, Leiden; S.B.W Vehmeijer, Reinier de Graaf Hospital, Delft; R. Onstenk, Groene Hart Hospital, Gouda; S.H.M. Verdegaal, Alrijne Hospital, Leiderdorp; H.H. Kaptijn, LangeLand Hospital, Zoetermeer; W.C.M. Marijnissen, Albert Schweitzer Hospital, Dordrecht; P.J. Damen, Waterland Hospital, Hoorn; the NetherlandsDisclosure of Interests:None declared


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mojtaba Sadeghi ◽  
Phu Nguyen ◽  
Matin Rahnamay Naeini ◽  
Kuolin Hsu ◽  
Dan Braithwaite ◽  
...  

AbstractAccurate long-term global precipitation estimates, especially for heavy precipitation rates, at fine spatial and temporal resolutions is vital for a wide variety of climatological studies. Most of the available operational precipitation estimation datasets provide either high spatial resolution with short-term duration estimates or lower spatial resolution with long-term duration estimates. Furthermore, previous research has stressed that most of the available satellite-based precipitation products show poor performance for capturing extreme events at high temporal resolution. Therefore, there is a need for a precipitation product that reliably detects heavy precipitation rates with fine spatiotemporal resolution and a longer period of record. Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) is designed to address these limitations. This dataset provides precipitation estimates at 0.04° spatial and 3-hourly temporal resolutions from 1983 to present over the global domain of 60°S to 60°N. Evaluations of PERSIANN-CCS-CDR and PERSIANN-CDR against gauge and radar observations show the better performance of PERSIANN-CCS-CDR in representing the spatiotemporal resolution, magnitude, and spatial distribution patterns of precipitation, especially for extreme events.


2021 ◽  
Vol 13 (9) ◽  
pp. 1701
Author(s):  
Leonardo Bagaglini ◽  
Paolo Sanò ◽  
Daniele Casella ◽  
Elsa Cattani ◽  
Giulia Panegrossi

This paper describes the Passive microwave Neural network Precipitation Retrieval algorithm for climate applications (PNPR-CLIM), developed with funding from the Copernicus Climate Change Service (C3S), implemented by ECMWF on behalf of the European Union. The algorithm has been designed and developed to exploit the two cross-track scanning microwave radiometers, AMSU-B and MHS, towards the creation of a long-term (2000–2017) global precipitation climate data record (CDR) for the ECMWF Climate Data Store (CDS). The algorithm has been trained on an observational dataset built from one year of MHS and GPM-CO Dual-frequency Precipitation Radar (DPR) coincident observations. The dataset includes the Fundamental Climate Data Record (FCDR) of AMSU-B and MHS brightness temperatures, provided by the Fidelity and Uncertainty in Climate data records from Earth Observation (FIDUCEO) project, and the DPR-based surface precipitation rate estimates used as reference. The combined use of high quality, calibrated and harmonized long-term input data (provided by the FIDUCEO microwave brightness temperature Fundamental Climate Data Record) with the exploitation of the potential of neural networks (ability to learn and generalize) has made it possible to limit the use of ancillary model-derived environmental variables, thus reducing the model uncertainties’ influence on the PNPR-CLIM, which could compromise the accuracy of the estimates. The PNPR-CLIM estimated precipitation distribution is in good agreement with independent DPR-based estimates. A multiscale assessment of the algorithm’s performance is presented against high quality regional ground-based radar products and global precipitation datasets. The regional and global three-year (2015–2017) verification analysis shows that, despite the simplicity of the algorithm in terms of input variables and processing performance, the quality of PNPR-CLIM outperforms NASA GPROF in terms of rainfall detection, while in terms of rainfall quantification they are comparable. The global analysis evidences weaknesses at higher latitudes and in the winter at mid latitudes, mainly linked to the poorer quality of the precipitation retrieval in cold/dry conditions.


2012 ◽  
Vol 47 (2) ◽  
pp. 157-175 ◽  
Author(s):  
Christopher Chase-Dunn ◽  
Hiroko Inoue

This article discusses the evolution of the international system and global governance within the Europe-centred modern world-system since the 15th century in the context of a comparative framework that includes interpolity systems since the Stone Age. The evolution of the modern system includes the emergence of the European system of sovereign national states and colonial empires, the extension of the Westphalian system to the non-core by succeeding waves of decolonization, the rise and fall of successively larger hegemons, the deepening of global capitalism in waves of globalization, the emergence of weak international regulatory institutions and the prospects for and the rapid emergence of global democracy. It is not claimed that a global state has already emerged, but the authors see the long-term processes as the early stages of the emergence of a world state, and consider how these processes might be accelerated within the next few decades. The need for democratization of the institutions of global governance is also discussed. However, in this article, the focus is more on real geo-historical processes than normative questions, outlining the evolution of interpolity institutional orders, describing the challenges in thinking about global state formation, and discussing some of the technological and political forces that might accelerate the long-term trend toward global state formation.


1956 ◽  
Vol 11 (2) ◽  
pp. 223-228
Author(s):  
James J. O'Leary
Keyword(s):  

2020 ◽  
Vol 2 (2) ◽  
pp. 84-89
Author(s):  
Veronika Nugraheni Sri Lestari ◽  
Dwi Cahyono ◽  
Nila Romatal Azah ◽  
Devy Mei Ariyanti

Capital markets are often interpreted as a market for a long-term financial instrument (securities) (its maturity is more than 1 year). In addition to that understanding, the capital market is also often associated as a place for the transaction of the party that needs funds (the company) and the Excess party (financier). The initial step of Sharia capital market developments in Indonesia began with the issuance of sharia funds on 25 June 1997 followed by the issuance of sharia bonds at the end of 2002, followed by the presence of the Jakarta Islamic Index (JII) in July 2000. The marketable securities traded on the stock exchange include stocks, bonds and mutual funds. Marketable securities are often referred to as ' financial instruments ' or ' securities ' or ' Sekuritas ' (Securities Act No. 8 year 1995 defines the capital market as "the activities concerned with public offerings and securities trading, public companies relating to securities, published, as well as institutions and professions relating to the securities". The capital market acts as a liaison between investors and companies or government institutions through the long-term trading of financial instruments. In an effort to support the realization of the Indonesian capital market to become a resilient and global economic driver of the national economy as stated in the Indonesian capital market blueprint, it needs to be done continuously to improve and expand the capital market infrastructure towards the better direction.


Sign in / Sign up

Export Citation Format

Share Document