economic indexes
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2021 ◽  
Vol 13 (24) ◽  
pp. 14011
Author(s):  
Sara Mehrab Daniali ◽  
Sergey Evgenievich Barykin ◽  
Irina Vasilievna Kapustina ◽  
Farzin Mohammadbeigi Khortabi ◽  
Sergey Mikhailovich Sergeev ◽  
...  

The Volatility Index (VIX) is a real-time index that has been used as the first measure to quantify market expectations for volatility, which affects the financial market as a main actor of the overall economy that is sensitive to the environmental and social aspects of investors and companies. The VIX is calculated using option prices for the S&P 500 Index (SPX) and is expressed as a percentage. Taking into account that VIX only shows the implicit volatility of the S&P 500 for the next 30 days, the authors develop a model for a near-optimal state trying to avoid uncertainty and insufficient accuracy. The researchers are trying to make a contribution to the theory of socially responsible portfolio management. The developed approach allows potential investments to make decisions regarding such important topics as ethical investing, performance analysis, as well as sustainable investment strategies. The approach of this research allows to use deep probabilistic convolutional neural networks based on conditional variance as a linear function of errors with the aim of estimating and predicting the VIX. For this purpose, the use of technical indicators and economic indexes such as Chicago Board Options Exchange (CBOE) VIX and S&P 500 is considered. The results of estimating and predicting the VIX with the proposed method indicate high precision and create a certainty in modeling to achieve the goals.


2021 ◽  
Vol 54 (1) ◽  
Author(s):  
Thomer Durman ◽  
Luciano Soares de Lima ◽  
Marcelo Oliveira A. Rufino ◽  
Antonio Leandro Chaves Gurgel ◽  
José Augusto Horst ◽  
...  

2021 ◽  
Vol 5 (2) ◽  
pp. 15-28
Author(s):  
Jessica Kerr ◽  
Suzanne Mavoa ◽  
Ralf-Dieter Schroers ◽  
Serryn Eagleson ◽  
Daniel Exeter ◽  
...  

Background   In Australia, the Socio-Economic Indexes for Areas (SEIFA), which includes the Index of Relative Socioeconomic Disadvantage (IRSD), captures the socioeconomic characteristics of areas. Because SEIFA rankings are relative to the country or state, the decile categorisations may not reflect an area’s socioeconomic standing relative to areas nearby. Aims   The aim of the research was to explore whether IRSD rankings could be re-ranked to become locally sensitive. Data and methods   Using existing SEIFA data to redistribute the membership of current decile IRSD groups, we tested three methods to re-rank all SA1 areas relative to the nearest areas capped at: (1) the nearest 99 neighbours, (2) a population threshold of 50,000 (3) a distance threshold of 10 km. Results   The reclassification of SEIFA IRSD deciles was largest (up to 8 decile points of change) when comparing the nearest neighbour and population threshold local methods to current state-based rankings. Moreover, compared to using current national and state SEIFA IRSD rankings, the use of local rankings resulted in more evenly distributed deciles between cities, regional, and remote areas. Conclusions   Because SEIFA IRSD rankings are used to allocate resources and health services, we encourage the combined use of a state and local ranking to refine areas considered the most disadvantaged.


Author(s):  
Vadim Poliakov

Mathematical modeling of detachable filtration in the split filter flow mode was carried out using exact and approximate analytical methods. An engineering technique has been developed to determine the duration of filter cycles, based on quality, economic and technical criteria. Determination of rational filter medium height was considered for two materials differed significantly by economic indexes.


Risks ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 205
Author(s):  
Jiří Pospíšil ◽  
Nataša Matulayová ◽  
Pavla Macháčková ◽  
Pavlína Jurníčková ◽  
Ivana Olecká ◽  
...  

The model of financial risk prediction we developed and present in our paper is based on the theoretical assumption that there exists a significant relationship between actual economic situation and values. This assumption confirmed by the research influences the potential risk in financial behaviour and it becomes actual especially in the case of changing life conditions. The concept of the model is based on data received from 3768 respondents questioned across the Czech Republic. Measured variables were indexed, and the cluster and factor analyses were used for multivariate analysis. The model is unique in the combination of personal values projected into six generalized value types and developed economic indexes clustered in four types of economic situations. The primary purpose of the model is to identify the anticipated personal financial risk of clients. The model has fundamental applications as a diagnostic or auto-diagnostic tool in social work, counselling, psychotherapy, and other helping professions, or as a research instrument leading to various hypotheses and to the enhancement of theories concerning economic behaviour.


2021 ◽  
pp. 144078332110442
Author(s):  
Val Colic-Peisker ◽  
Andy Peisker

This article explores the relationship of residential concentrations of non-Anglophone migrants with socio-economic disadvantage at the suburb (SA2) level. We look at two main Australian gateway cities, Sydney and Melbourne. We use the ‘person-counts’ of the latest available (2016) Australian Census data, matching them with the socio-economic data provided by the Australian Bureau of Statistics ‘socio-economic indexes for areas’ (SEIFA). Our analysis shows that despite decades of careful filtering of migrants for skills and language, socio-economic disadvantage in migrant concentrations persists in the main gateway cities, being more pronounced in Melbourne than in Sydney. The article employs an original quantitative analysis in order to advance the understanding of relationship between ethnicity, socio-economic position and residential location. We seek to contribute to the ongoing scholarly and policy debate about migrant concentration areas in large immigrant-receiving cities.


2021 ◽  
Vol 7 (3(43)) ◽  
pp. 7-13
Author(s):  
Tofig Aliyev

Global financial markets play an essential role in the economic growth and evolution of international relations. It allows rational and efficient distribution of monetary resources between those who save and those who invest and by that it supports flow of the capital. In the recent year’s importance of financial markets has largely increased, which can be seen in the rapid change of statistics of the number and volume of market. Moreover, development of different financial instruments stimulates the growth of businesses which in the end result in positive trend of the country`s economic indexes. Considering that expansion of mobilization and redistribution instruments of financial markets has positive impact on growth of economy, this article tracks down history of establishment and main essences of global financial market, as well as changes which can be tracked throughout these years.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Amber Kennedy ◽  
Beverley Vollenhoven ◽  
Richard Hiscock ◽  
Catharyn Stern ◽  
Susan Walker ◽  
...  

Abstract Background There is interest in longer term outcomes in IVF-conceived offspring compared with those conceived naturally. So far, the findings have been conflicting. The Australian Early Developmental Consensus (AEDC) assesses children in their first year of primary school across five domains. Methods To compare school entry outcomes in IVF-conceived children with naturally conceived controls, we undertook a statewide data linkage study, with perinatal data (2005-2014) linked to data from IVF providers in Victoria and the AEDC. Our approach to analysis included: complete case analysis, multiple imputation of missing data, consideration of clustering (siblings) and inverse probability weighted modeling to adjust for covariates. Our primary outcome was an AEDC score indicative of developmental vulnerability in two or more domains. We adjusted for confounders: child’s age at assessment, sex, highest level of maternal education, maternal age, parity, SEIFA (Socio-Economic Indexes for Areas) quintile, language background other than English, and Aboriginal and Torres Strait Islander (ATSI) status. Results The linked dataset comprised 163,418 children, including 4,441 IVF-conceived children. The IVF-conceived population had older, more highly educated mothers who lived in more affluent areas and were less likely to be from non-English speaking backgrounds or identify as ATSI. IVF-conceived children were less likely to be developmentally vulnerable, in both unadjusted (RR 0.59, 95%CI:0.52-0.67, p < 0.001) and adjusted analyses (aRR 0.72, 95%CI:0.58-0.88, p < 0.001). Conclusions IVF-conceived were less likely to be developmentally vulnerable in their first year of schooling, compared with peers conceived naturally.


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5052
Author(s):  
Beáta Stehlíková ◽  
Katarína Čulková ◽  
Marcela Taušová ◽  
Ľubomír Štrba ◽  
Eva Mihaliková

Waste treatment consists of activities required to make sure that waste has the least practical impact on the environment. In Slovakia, more than 50% of waste is in storage. Waste development depends on the economic situation of the state. In Slovakia, there is economic intolerance of waste treatment due to the weaker economic situation of the inhabitants. The goal of this contribution is to study the development of waste production in Slovakia in regard to economic indexes of households with the aim of improving waste management. The goal is achieved by searching for a relation between economic indexes and households by a correlation matrix and by verification of polynomial dependence. According to the results of the statistical importance, we found similarity of the regions in chosen indexes by using of cluster analysis. By this method a sustainable economy and healthy environment is guaranteed and waste is used to produce energy.


Author(s):  
Iurych Nicolau Barros Bussons ◽  
Elcimar da Silva Souza ◽  
Paulo Henrique Rocha Aride ◽  
Wallice Luiz Paxiúba Duncan ◽  
Jackson Pantoja-Lima ◽  
...  

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