scholarly journals Um Estudo Estatístico Do Impacto De Variáveis Financeiras No Ativo Financeiro Intangível Da Empresa Telefônica Vivo S/A / A Statistical Study of the Impact of Financial Variables on the Intangible Financial Assets of the Telephone Company Vivo S/A

2020 ◽  
Vol 2 (4) ◽  
pp. 3869-3882
Author(s):  
Viviane Chunques Gervasoni ◽  
George Bedinelli Rossi ◽  
Dirceu da Silva
Keyword(s):  
Statistical Study ◽  
Financial Assets ◽  
Telephone Company ◽  
Financial Variables ◽  
The Impact

scholarly journals A Comparative Analysis on Probability of Volatility Clusters on Cryptocurrencies, and FOREX Currencies

2021 ◽  
Vol 14 (7) ◽  
pp. 308
Author(s):  
Usha Rekha Chinthapalli
Keyword(s):  
Investment Decision ◽  
Theoretical Work ◽  
Financial Asset ◽  
Dynamic Features ◽  
Asset Return ◽  
Financial Variables ◽  
Ann Models ◽  
Hidden Layer ◽  
Association Structure ◽  
The Impact

In recent years, the attention of investors, practitioners and academics has grown in cryptocurrency. Initially, the cryptocurrency was designed as a viable digital currency implementation, and subsequently, numerous derivatives were produced in a range of sectors, including nonmonetary activities, financial transactions, and even capital management. The high volatility of exchange rates is one of the main features of cryptocurrencies. The article presents an interesting way to estimate the probability of cryptocurrency volatility clusters. In this regard, the paper explores exponential hybrid methodologies GARCH (or EGARCH) and through its portrayal as a financial asset, ANN models will provide analytical insight into bitcoin. Meanwhile, more scalable modelling is needed to fit financial variable characteristics such as ANN models because of the dynamic, nonlinear association structure between financial variables. For financial forecasting, BP is contained in the most popular methods of neural network training. The backpropagation method is employed to train the two models to determine which one performs the best in terms of predicting. This architecture consists of one hidden layer and one input layer with N neurons. Recent theoretical work on crypto-asset return behavior and risk management is supported by this research. In comparison with other traditional asset classes, these results give appropriate data on the behavior, allowing them to adopt the suitable investment decision. The study conclusions are based on a comparison between the dynamic features of cryptocurrencies and FOREX Currency’s traditional mass financial asset. Thus, the result illustrates how well the probability clusters show the impact on cryptocurrency and currencies. This research covers the sample period between August 2017 and August 2020, as cryptocurrency became popular around that period. The following methodology was implemented and simulated using Eviews and SPSS software. The performance evaluation of the cryptocurrencies is compared with FOREX currencies for better comparative study respectively.

scholarly journals Grading Investment Diversification Options in Presence of Non-Historical Financial Information

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 692
Author(s):  
Clara Calvo ◽  
Carlos Ivorra ◽  
Vicente Liern ◽  
Blanca Pérez-Gladish
Keyword(s):  
Risk Measure ◽  
Statistical Information ◽  
Expected Returns ◽  
Financial Assets ◽  
Expected Return ◽  
Additional Information ◽  
Subjective Risk ◽  
The Impact ◽  
Statistical Risk ◽  
Reduction Index

Modern portfolio theory deals with the problem of selecting a portfolio of financial assets such that the expected return is maximized for a given level of risk. The forecast of the expected individual assets’ returns and risk is usually based on their historical returns. In this work, we consider a situation in which the investor has non-historical additional information that is used for the forecast of the expected returns. This implies that there is no obvious statistical risk measure any more, and it poses the problem of selecting an adequate set of diversification constraints to mitigate the risk of the selected portfolio without losing the value of the non-statistical information owned by the investor. To address this problem, we introduce an indicator, the historical reduction index, measuring the expected reduction of the expected return due to a given set of diversification constraints. We show that it can be used to grade the impact of each possible set of diversification constraints. Hence, the investor can choose from this gradation, the set better fitting his subjective risk-aversion level.

scholarly journals The Caribbean and its Linkages with the World

2019 ◽  
Vol 2019 (256) ◽  
Author(s):  
Mauricio Vargas ◽  
Daniela Hess
Keyword(s):  
Global Economy ◽  
Caribbean Region ◽  
Financial Variables ◽  
The World ◽  
Trading Partners ◽  
Global Var ◽  
The Caribbean ◽  
Using Data ◽  
The Impact ◽  
The U.S

Using data from 1980-2017, this paper estimates a Global VAR (GVAR) model taylored for the Caribbean region which includes its major trading partners, representing altogether around 60 percent of the global economy. We provide stilyzed facts of the main interrelations between the Caribbean region and the rest of the world, and then we quantify the impact of external shocks on Caribbean countries through the application of two case studies: i) a change in the international price of oil, and ii) an increase in the U.S. GDP. We confirmed that Caribbean countries are highly exposed to external factors, and that a fall in oil prices and an increase in the U.S. GDP have a positive and large impact on most of them after controlling for financial variables, exchange rate fluctuations and overall price changes. The results from the model help to disentangle effects from various channels that interact at the same time, such as flows of tourists, trade of goods, and changes in economic conditions in the largest economies of the globe.

scholarly journals Does the Financial Status of Company Affect the Bond Credit Rating? ——Empirical Evidence from China's Shanghai and Shenzhen Stock Exchanges

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuyan Cai
Keyword(s):  
Credit Rating ◽  
Credit Ratings ◽  
Corporate Bonds ◽  
Principal Component ◽  
Corporate Bond ◽  
Stock Exchanges ◽  
Analysis Method ◽  
Financial Status ◽  
Financial Variables ◽  
The Impact

This article takes the companies that publicly issued corporate bonds on the Shanghai and Shenzhen Stock Exchanges from 2006 to 2018 as the research objects selecting six aspects that comprehensively reflect the 17 financial variables in 6 aspects: profitability, operating ability, bond repayment ability, development ability, cash flow and market value of the company. Principal component analysis method and factor analysis method are used to extract the principal factors of these financial indicator variables. That is how an ordered multi-classification Logistic regression model is constructed to test the impact of the Shanghai and Shenzhen Stock Exchanges’ financial status on the corporate bond credit rating. It turns out that the financial status of the Shanghai and Shenzhen Stock Exchanges have an important impact on the credit rating of corporate bonds. The financial status has a greater impact on corporate bonds with credit ratings of A- and AA-, while it has a smaller impact on corporate bonds with credit ratings above AA. The results of this article can help individual and institutional investors prevent risks from investing.

scholarly journals Statistical study of the impact of climate warming on productivity

2020 ◽  
Vol 1515 ◽  
pp. 052071
Author(s):  
A P Zinchenko ◽  
O B Tarasova ◽  
N I Pyzhikova
Keyword(s):  
Climate Warming ◽  
Statistical Study ◽  
The Impact

Relation between internet financial information disclosure and internal control in Spanish local governments

2019 ◽  
Vol 71 (2) ◽  
pp. 176-194 ◽  
Author(s):  
María del Rocío Moreno-Enguix ◽  
Ester Gras-Gil ◽  
Joaquín Henández-Fernández
Keyword(s):  
Internal Control ◽  
Local Governments ◽  
Information Disclosure ◽  
Financial Information ◽  
Public Governance ◽  
Content Type ◽  
Financial Variables ◽  
New Public ◽  
Provision Of Services ◽  
The Impact

Purpose The application of new public governance by many countries has led to the creation of new management systems in public administration and the development of an effective accounting structure with efficient internal control to guarantee a proper provision of services that meet citizens’ requirements. The purpose of this paper is to focus on Spanish local government with the intention of determining the impact of the internal control structure on the disclosure of financial information on the internet. Design/methodology/approach The empirical analysis used combines a descriptive aspect with an explanatory one and seeks to answer the question of whether the internal control system (ICS) influences the disclosure of financial information on the websites of Spanish LGs. The authors use a multivariate model that allows us to verify the predictive capability of the previously defined explanatory variable, internal control, in 1,806 local governments. To test the hypotheses, the authors use two different models. Findings The authors consider the existence and quality of the financial information disclosure in relation to ICSs, and a series of financial and non-financial variables. The authors conclude that the structure of the ICS influences financial information disclosure and its quality. Also, the socio-political variable gives a better explanation of financial information disclosure than the financial variable. Originality/value This research is novel to determine whether the development of ICSs in Spanish municipalities has favored and increased the disclosure of financial information financial through the municipalities’ website transparency portal. These findings will contribute to increase the importance of internal control in the management of public entities.

scholarly journals The Linkage between Sentiments and Stock Market Dynamics New Evidence from Iran

2020 ◽  
Vol 9 (2) ◽  
pp. 29
Author(s):  
Heshmatollah Asgari ◽  
Hamed Najafi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Screening Method ◽  
Market Price ◽  
Investor Sentiment ◽  
Financial Assets ◽  
Causality Test ◽  
Research Criteria ◽  
The Impact ◽  
The Relationship

In recent years, the issue of financial behaviour and the impact of investors’ sentiments on their decision making have become such a popular issue. The sentiments of financial activists affect the market price of financial assets and particularly stocks, and therefore it is included in the new pricing models of capital assets. In this article, we seek the effect of investors’ sentiments on the dynamics of the Iranian stock market (TSE). To do this, among the companies accepted in the stock market we select 120, considering the research criteria and screening method, we examined TSE specifics throughout 2010-2018 using regression analysis and causality test. Our results show that firstly investors’ sentiments have a direct effect on the stock returns and there is a bilateral relationship between them. Secondly, inflation has the opposite effect and economic growth has a direct and positive effect on the relationship between investor sentiment and stock returns. Finally, government spending has no significant effect on the relationship between investor sentiment and stock returns.

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