scholarly journals Financial Factors in Business Fluctuations

10.3386/w2758 ◽  
1988 ◽  
Author(s):  
Mark Gertler ◽  
R. Glenn Hubbard
Keyword(s):  
Business Fluctuations ◽  
Financial Factors

PREDIKSI PERINGKAT OBLIGASI SYARIAH DI INDONESIA

2014 ◽  
Vol 11 (3) ◽  
pp. 1-15
Author(s):  
Ike Arisanti ◽  
Isti Fadah ◽  
Novi Puspitasari
Keyword(s):  
Profit Sharing ◽  
Sample Collection ◽  
Purposive Sampling ◽  
Financial Factors ◽  
Financial Factor ◽  
Independent Variable ◽  
Rating Prediction ◽  
Collection Methods

This study purposes to analyze the influence of financial and non financial factors to prediction of the rating islamic bond in indonesia. The study used independent variable,that is financial factor (growth, size, profit sharing/fee, liquidity) and non financial factor ( secure and maturity) and dependent variable that is the rating of islamic bond. This study applied logistic regresion analysis with sample collection methods using purposive sampling. After selecting fixed criterias, there were 25 islamic bonds chosen with the numbers of 75 investigation from periods of 2010-2012. The result of this study showed that significantly effect the variable growth (X1) , size(X2), profit sharing/ fee (X3), liquidity (X4), secure (X5), maturity (X6) simultaneously to the rating prediction of islamic bond in indonesia. Partially, variable variables of growth (X1) , size (X2), profit sharing/ fee (X3) which referred not significant affecting to the rating prediction of islamic bond in indonesia. Meanwhile, variables of liquidity (X4), secure (X5), maturity ( X6) referred significant affecting to the rating prediction of islamic bond in indonesia.

Country Risk Analysis of Bangladesh

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Zahidur Rahman ◽  
Jannatul Ferdous Bristy
Keyword(s):  
Risk Analysis ◽  
Financial Risk ◽  
Political Risk ◽  
Multinational Companies ◽  
Country Risk ◽  
Low Risk ◽  
Primary Data ◽  
Policy Makers ◽  
Financial Factors ◽  
Political Economic

In the endeavor of conquering the worlds consumers, multinational companies face enormous risks. Such risks may arise from different political, economic, and financial factors. These factors are commonly referred to country risk as a whole. Focusing Bangladesh in this regard, objective of this study is to find out the level of country risk in terms of political, economic, and financial riskiness. Analysis of country risk has been done using an internationally recognized methodology named International Country Risk Guide (ICRG). For political risk analysis, primary data has been collected from 20 journalists, bureaucrats and policy makers, business persons, corporate professionals, and academicians with a structured closed-ended questionnaire. Results indicate that Bangladesh is in high risk position in terms of political risk, low risk position in terms of economic risk and very low risk position in terms of financial risk. Compositely, Bangladesh has been found to be a moderately risky country for investment.

scholarly journals Analysis of Strategic Directions in Sustainable Hydrogen Investment Decisions

2020 ◽  
Vol 12 (11) ◽  
pp. 4581
Author(s):  
Lu Zhu ◽  
Lanli Hu ◽  
Serhat Yüksel ◽  
Hasan Dinçer ◽  
Hüsne Karakuş ◽  
...  
Keyword(s):  
Research And Development ◽  
Hydrogen Energy ◽  
Investment Strategies ◽  
Energy Investment ◽  
Technological Infrastructure ◽  
Investment Projects ◽  
Financial Factors ◽  
Causality Relationship ◽  
Effective Hydrogen ◽  
Interval Valued

This study seeks to find the appropriate strategies necessary to make sustainable and effective hydrogen energy investments. Within this scope, nine different criteria are defined regarding social, managerial, and financial factors. A hesitant, interval-valued, intuitionistic fuzzy (IVIF) decision-making trial and evaluation laboratory (DEMATEL) methodology is considered to calculate the degree of importance of the criteria. Additionally, impact relation maps are also generated to visualize the causality relationship between the factors. The findings indicate that the technical dimension has the greatest importance in comparison to managerial and financial factors. Furthermore, it is also concluded that storage and logistics, research and development, and technological infrastructure are the most significant factors to be considered when defining hydrogen energy investment strategies. Hence, before investing in hydrogen energy, necessary actions should be taken to minimize the storage and logistic costs. Among them, building the production site close to the usage area will contribute significantly to this purpose. In this way, possible losses during the transportation of hydrogen can be minimized. Moreover, it is essential to identify the lowest-cost hydrogen storage method by carrying out the necessary research and development activities, thereby increasing the sustainability and effectiveness of hydrogen energy investment projects.

Learning from House Prices: Amplification and Business Fluctuations

2020 ◽  
Author(s):  
Ryan Chahrour ◽  
Gaetano Gaballo
Keyword(s):  
House Prices ◽  
House Price ◽  
Price Increase ◽  
Land Prices ◽  
Business Fluctuations ◽  
Nominal Rigidity ◽  
Supply Shocks ◽  
Residential Investment ◽  
Amplification Loop ◽  
Initial Price

Abstract We formalize the idea that house price changes may drive rational waves of optimism and pessimism in the economy. In our model, a house price increase caused by aggregate disturbances may be misinterpreted as a sign of higher local permanent income, leading households to demand more consumption and housing. Higher demand reinforces the initial price increase in an amplification loop that drives comovement in output, labor, residential investment, land prices, and house prices even in response to aggregate supply shocks. The qualitative implications of our otherwise frictionless model are consistent with observed business cycles and it can explain the economic impact of apparently autonomous changes in sentiment without resorting to non-fundamental shocks or nominal rigidity.

Impact of Non-Financial Factors on Performance of Small and Medium Scale Enterprises of Furniture Industry in Moratuwa, Sri Lanka

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
W. I. A Perera ◽  
D. H. B. Y. Ranasinghe
Keyword(s):  
Sri Lanka ◽  
Small And Medium Enterprises ◽  
Study Data ◽  
Furniture Industry ◽  
Input Constraints ◽  
Financial Factors ◽  
Empirically Supported ◽  
Regulatory Constraints ◽  
Medium Enterprises ◽  
The Impact

Small and Medium Enterprises in any nation are blessed with the ability to become the backbone of the domestic economy and the sustainability. Therefore, they must concern about the factors which are affecting their performance. Many studies have been conducted by highlighting the financial factors that affect the performance of small and medium enterprises. Furniture industry is also embodied with number of small and medium enterprises around Sri Lanka. But still it is held the reputation in Moratuwa city. As an industry, small and medium enterprises are not sufficiently aware of non-financial factors which affect their performance and struggle to identify the impact of non-financial factors and how they could avoid the barriers from non-financial factors. Though the recent governments and regulatory bodies have designed policies and strategies to encourage small and medium enterprises by providing financial facilities, the information and the knowledge regarding non-financial factors are not sufficient. The purpose of this study is to identify the impact of non-financial factors on performance of Furniture industry in Moratuwa, Sri Lanka. After a comprehensive literature review, Input constraints, Regulatory Constraints, Technology constraints, Infrastructure constraints and Threats of Substitute products are identified as the independent variables of the study. Data collection was done using a structured questionnaire with 30 questions of Likert scales from the selected sample of 100 Furniture small and medium enterprises located in Moratuwa area. The analysis was carried out performing tests on descriptive statistics, validity, reliability, correlation, and regression analyses, and it is empirically supported that there is a significant impact of input constraints and infrastructure constraints on performance of Furniture industry in Moratuwa, Sri Lanka. Thereby, the findings would help the authorities and policy makers to take necessary actions to accomplish fu

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