Uk boasts large market growth

1985 ◽  
Vol 64 (5) ◽  
pp. 13
Author(s):  
Maureen Browne
Keyword(s):  
Market Growth ◽  
Large Market

Index Funds and Stock Market Growth

CFA Digest ◽  
2003 ◽  
Vol 33 (3) ◽  
pp. 65-66
Author(s):  
Keith H. Black
Keyword(s):  
Stock Market ◽  
Index Funds ◽  
Market Growth

Sustainable Development of Cosmetic Products in the Frame of the Laboratory Market

2018 ◽  
Vol 7 (2) ◽  
pp. 62-66
Author(s):  
Anita Tolnay ◽  
András Koris ◽  
Robert Magda
Keyword(s):  
Sustainable Development ◽  
Special Focus ◽  
International Studies ◽  
Manufacturing Companies ◽  
Cosmetic Products ◽  
Life Cycle Assessment Methodology ◽  
Market Growth ◽  
Research Activities ◽  
Cosmetic Industry ◽  
Laboratory Market

Abstract The main objective of the current study is to highlight sustainable development from the perspective of the cosmetics industry producing ‘eco-friendly’ products. In the last decades an enhancing interest is being experienced towards sustainable development among cosmetics manufacturing companies, scientific research and development (R & D) laboratories as well as green consumers in the need for natural products safer for health and less toxic for the environment. Several international studies show that cosmetic products formulated with natural ingredients developed by cosmetic industry has a higher annual market growth than for synthetic products. R & D puts special focus on new innovative technologies in green cosmetic products to meet the frequently updated requirements of regulations in compliance with the current legislation. Scientific laboratory market has an increasing importance to evaluate natural and organic raw materials. In this work the authors attempt to focus on the growing importance of research activities to sustainable cosmetics production in life cycle assessment methodology. Naturally, the conceptual scope and extent of this study do not permit all the possible issues to be examined from every aspects due to lack of data, thus it will be endeavored to point out merely the most relevant considerations in the field of cosmetic industry.

Customer satisfaction in purchasing mobile phones: An explorative study

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 1751-1757
Author(s):  
Rohith Raja M ◽  
Ida David
Keyword(s):  
Customer Satisfaction ◽  
Mobile Phones ◽  
Current Trend ◽  
Essential Element ◽  
Manufacturing Companies ◽  
Customer Requirements ◽  
Business World ◽  
Large Market ◽  
Explorative Study

Customers hold the key role in determining the market of any material. The demand and requirements of the customers are taken into account while the manufacturers produce any product. Mobile phones, being an essential element in today’s world, occupy a large market in today’s business world. Customer satisfaction is the prime motive of the manufacturing companies. Based on a survey conducted, we study the current trend of phone purchase in India and thus analyze the customer’s responses towards different brands and their products. The results depict which brands satisfy the customer requirements.

Understanding Distressed Residential Transaction Discounts Across Price Segments and Market Conditions

2020 ◽  
Vol 42 (1) ◽  
pp. 151-182
Author(s):  
Ramya Rajajagadeesan Aroul ◽  
J. Andrew Hansz ◽  
Mauricio Rodriguez
Keyword(s):  
Transaction Costs ◽  
Time Varying ◽  
Market Segment ◽  
Market Conditions ◽  
Large Market ◽  
Space And Time ◽  
Wide Range ◽  
Time Periods ◽  
Market Areas

In the literature, there is a wide range of discounts associated with foreclosures. Comparisons across studies are difficult as they use different methodologies across large areas over different time periods. We employ a consistent methodology across space and time. We find modest discounts, within the range of typical transaction costs, in all but the highest priced market segment. Higher priced segments could explain prior findings of substantial discounts. We find that discounts are time-varying, with discounts increasing with market distress. A one-size-fits-all approach is not appropriate when estimating distressed transaction discounts across large market areas or under changing market conditions.

Factor Analysis for RPA Market Growth in Japan

2019 ◽  
Vol 6 (2) ◽  
pp. 9-20
Author(s):  
Kyudong Cho
Keyword(s):  
Factor Analysis ◽  
Market Growth

Revisiting the growth effects of government bonds in the emerging capital market.

2019 ◽  
Vol 3 (1) ◽  
pp. 32-38
Author(s):  
Temitayo O. Olaniyan ◽  
Samuel O. Ekundayo
Keyword(s):  
Method Of Moments ◽  
Capital Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Annual Reports ◽  
Series Data ◽  
Government Bonds ◽  
Market Growth ◽  
The Public ◽  
Generalised Method Of Moments

We revisited the effects of government bonds for the growth on the Nigerian capital market. Utilising time-series data obtained from the Nigeria Stock Exchange (NSE) annual reports for the period from 2010 to 2017, this study through the Generalised Method of Moments (GMM) regression estimator found that the value and the number of listed government bonds’ positively and significantly affect capital market growth in Nigeria. Furthermore, low capitalisation of government bonds negatively affects the growth of the market. The null hypothesis of the Hansen J-statistics is accepted; hence this implies that the IVs used in the GMM model is valid. We concluded that government bonds have positive and significant effects on the growth of the Nigerian capital market, thus government bonds have made the NSE All-Share Index grow over the period under investigation. Following the findings from the study, it was recommended, inter alia, that there should be more issuance of government bonds to the public and further to enhance the efficiency of the capital markets, both primary and secondary, while the funds raised from the capital market through government issuance should be channelled towards Nigeria’s productive sectors to promote an all-inclusive growth in the Nigerian economy.

scholarly journals Is It Possible to Forecast the Price of Bitcoin?

Forecasting ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 377-420
Author(s):  
Julien Chevallier ◽  
Dominique Guégan ◽  
Stéphane Goutte
Keyword(s):  
Data Analytics ◽  
Daily Variation ◽  
A Priori ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Market Growth ◽  
Network Support ◽  
Market Participants ◽  
Nearest Neighbours ◽  
Stationary Behavior

This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Random Forest, k-Nearest Neighbours, AdaBoost, Ridge regression), without deciding a priori which one is the ‘best’ model. The main contribution is to use these data analytics techniques with great caution in the parameterization, instead of classical parametric modelings (AR), to disentangle the non-stationary behavior of the data. As soon as Bitcoin is also used for diversification in portfolios, we need to investigate its interactions with stocks, bonds, foreign exchange, and commodities. We identify that other cryptocurrencies convey enough information to explain the daily variation of Bitcoin’s spot and futures prices. Forecasting results point to the segmentation of Bitcoin concerning alternative assets. Finally, trading strategies are implemented.

scholarly journals The Innovation of Government Bonds in the Growth of an Emergent Capital Market

2021 ◽  
Vol 7 (1) ◽  
pp. 103
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Philip Olasupo Alege
Keyword(s):  
Capital Market ◽  
Research Work ◽  
Government Bonds ◽  
Market Capitalization ◽  
Market Growth ◽  
Explanatory Variables ◽  
The Government ◽  
The Impact ◽  
Total Market ◽  
The Capital Market

The growth of an emerging capital market is necessary and requires all available resources and inputs from various sources to realize this objective. Several debates on government bonds’ contribution to Nigeria’s capital market developmental growth have ensued but have not triggered comprehensive studies in this area. The present research work seeks to close the breach by probing the impact of government bonds on developing the capital market in Nigeria from 2003–2019. We employ total market capitalization as the response variable to proxy the capital market, while various government bonds serve as the independent variables. The inflation rate moderates the predictor components. The research uses multiple regression technique to assess the explanatory variables’ impact on the total market capitalization. At the same time, diagnostic tests help guarantee the normality of the regression model’s data distribution and appropriateness. The findings reveal that the Federal Government of Nigeria’s (FGN) bond is statistically significant and positive in influencing Nigeria’s capital market growth. The other predictor variables are not found significant in this study. The study suggests that the Government should improve on the government bonds’ coupon, while still upholding the none default norm in paying interest and refunding principal to investors when due.

scholarly journals The Impact of COVID-19 Lockdowns on Sustainable Indexes

2021 ◽  
Vol 13 (4) ◽  
pp. 1846 ◽  
Author(s):  
Helen Chiappini ◽  
Gianfranco Vento ◽  
Leonardo De Palma
Keyword(s):  
Abnormal Returns ◽  
Nonparametric Tests ◽  
Market Growth ◽  
Bear Market ◽  
Global Pandemic ◽  
Screening Strategies ◽  
The Usa ◽  
Sustainable Investment ◽  
Sustainable Investments ◽  
The Impact

This paper analyzes the response of sustainable indexes to the pandemic lockdown orders in Europe and the USA, contributing to both the research on the effects of the global pandemic outbreak and the resiliency of sustainable investments under market distress. Our results demonstrate that sustainable indexes were negatively impacted by lockdown orders; however, they did not show statistically significant different abnormal returns compared to traditional indexes. Similarly, our empirical results confirm that sustainable screening strategies (negative, positive, best in class) did not have an influence during such announcements. These results are robust across several model specifications and robustness tests, including nonparametric tests, generalized autoregressive conditionally heteroskedastic (GARCH) estimation of abnormal returns, and alternative events. The findings suggest that investors do not have to pay the price for the investments in sustainable assets when a bear market occurs; consequently, ceteris paribus, these investments appear suitable for financial-first investors. Such results have relevant practical consequences in terms of sustainable investment attractiveness and market growth.

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