Spread position as a leading economic indicator

2021 ◽  
pp. 100681
Author(s):  
Yang-Ho Park
Keyword(s):  
Economic Indicator

KPI- Economic Indicator: Effect on EU/Rest of the World Steel Trade

2009 ◽  
Vol 106 (9) ◽  
pp. 363-372 ◽  
Author(s):  
V. Colla ◽  
B. Fornai ◽  
A. Amato
Keyword(s):  
Economic Indicator ◽  
The World

Whey as an indicator for standardizing cow’s milk fat percentage for cheese production

2020 ◽  
pp. 33-39
Author(s):  
Prof. Asoc. Dr. Shurki MAXHUNI ◽  
Prof.Asiss.Dr.Nerimane BAJRAKTARI
Keyword(s):  
Milk Fat ◽  
Economic Indicator ◽  
Peculiar Feature ◽  
Cow’S Milk ◽  
Fat Percentage ◽  
Cow's Milk ◽  
Physical Chemical ◽  
Heated Milk ◽  
Sweet Whey ◽  
Acid Whey

The dairy industry seems to have convinced the food industry that whey is a miracle product. The list of supposed benefits it gives to food is as long as your arm. Some of the benefits may be real. Whey is the liquid remaining after milk has been curdled and strained. It is a by-product of the manufacture of cheese or casein and has several commercial uses. To produce cheese, rennet or an edible acid is added to heated milk. This makes the milk coagulate or curdle, separating the milk solids (curds) from the liquid whey. Sweet whey is the byproduct of rennet-coagulated cheese and acid whey (also called sour whey) is the byproduct of acid-coagulated cheese. Sweet whey has a pH greater than or equal to 5.6, acid whey has a pH less than or equal to 5.1. Whey is also a great way to add sweetness to a product without having to list sugar as an ingredient as whey contains up to 75% lactose. And it sounds healthy. This study is done to research the examinations for the production of mozzarella cheese from Cow’s milk, after research and analyses of a physical-chemical peculiar feature of whey from coagulum. We have followed the processes from the drying of whey from the coagulum analyzer's physical-chemical peculiar feature. We carried out three experiments. For every experiment, we took three patterns and analyzed the physical-chemical. The calculation was appraised statistically. This paper deals with the research of% of whey fat during the process of milk production from standardized to non-standardized milk. Where% of whey fat should be an economic indicator for standardizing milk for dairy production.

A Principal Components Test of Bank Debits as a Local Economic Indicator

1965 ◽  
Vol 38 (4) ◽  
pp. 409 ◽  
Author(s):  
Willard T. Carleton ◽  
Leonall C. Andersen
Keyword(s):  
Principal Components ◽  
Economic Indicator

scholarly journals Sex-specific differences in prevalence and in the factors associated to the search for health services in a population based epidemiological study

2014 ◽  
Vol 17 (2) ◽  
pp. 323-340 ◽  
Author(s):  
Suzana Alves de Moraes ◽  
Daniele Almeida Lopes ◽  
Isabel Cristina Martins de Freitas
Keyword(s):  
Epidemiological Study ◽  
Associated Factors ◽  
Access To Health Care ◽  
Health Care Services ◽  
Economic Indicator ◽  
Population Based ◽  
Cross Sectional ◽  
Women Health ◽  
Care Services ◽  
Health Related

Objectives: To identify the access to health care services and associated factors in adults living in the city of Ribeirão Preto, São Paulo, Brazil, in 2007. Methods: A cross-sectional population-based epidemiological study with a sample developed in three stages. The variability introduced in the third sampling fraction was corrected by the attribution of weights, resulting in a sample of 2,471 participants. The outcome prevalence was estimated according to socio-demographic, behavioral and health-related variables. In order to identify associated factors, the regression of Poisson was used, obtaining crude and adjusted prevalence ratios. All estimates were calculated taking into account the effect of the sampling design. Results: The outcome prevalence increased according to the age, being higher in female individuals. A different set of variables remained in the final models, considering each gender separately. Among men, the monthly income > R$ 1,400.00; scores > 823.6 to the Economic Indicator of Ribeirão Preto (IERP) and daily average of sitting down time (154.4 - 240 min/day) constituted themselves into protective factors, whereas the increase of age and scholarship, hospitalization, diabetes and hypertension constituted risk factors for the use of the services. Among women, health self-reported as regular, hospitalization, diabetes and hypertension characterized factors positively associated to the outcome at matter. Conclusions: The results indicate the need for planning actions aimed at capturing male individuals, as well as the revaluation of detection and control of diabetes and hypertension programs, aimed at the primary prevention of terminal cardiovascular events.

scholarly journals A robust vector autoregressive model for forecasting economic growth in Malaysia

2018 ◽  
Vol 14 (3) ◽  
pp. 382-385
Author(s):  
Azme Khamis ◽  
Nur Azreen Abdul Razak ◽  
Mohd Asrul Affendi Abdullah
Keyword(s):  
Economic Growth ◽  
Least Square Method ◽  
Economic Indicator ◽  
Performance Measure ◽  
Least Square ◽  
Economic Indicators ◽  
Percentage Error ◽  
Monthly Basis ◽  
Vector Autoregressive ◽  
Auto Regressive

Economic indicator measures how solid or strong an economy of a country is. Basically, economic growth can be measured by using the economic indicators as they give an account of the quality or shortcoming of an economy. Vector Auto-regressive (VAR) method is commonly useful in forecasting the economic growth involving a bounteous of economic indicators. However, problems arise when its parameters are estimated using least square method which is very sensitive to the outliers existence. Thus, the aim of this study is to propose the best method in dealing with the outliers data so that the forecasting result is not biased. Data used in this study are the economic indicators monthly basis starting from January 1998 to January 2016. Two methods are considered, which are filtering technique via least median square (LMS), least trimmed square (LTS), least quartile difference (LQD) and imputation technique via mean and median. Using the mean absolute percentage error (MAPE) as the forecasting performance measure, this study concludes that Robust VAR with LQD filtering is a more appropriate model compare to others model. 

scholarly journals The CoRisk-Index: Measuring economic risks related to COVID-19 in real time

2021 ◽  
Author(s):  
Fabian Braesemann ◽  
Fabian Stephany ◽  
Leonie Neuhäuser ◽  
Niklas Stoehr ◽  
Philipp Darius ◽  
...  
Keyword(s):  
Stock Market ◽  
Real Time ◽  
Language Processing ◽  
Economic Indicator ◽  
Economic Consequences ◽  
Economic Downturn ◽  
Related Risk ◽  
Unemployment Data ◽  
Using Data ◽  
Processing Techniques

Abstract The global spread of Covid-19 has caused major economic disruptions. Governments around the world provide considerable financial support to mitigate the economic downturn. However, effective policy responses require reliable data on the economic consequences of the corona pandemic. We propose the CoRisk-Index: a real-time economic indicator of Covid-19 related risk assessments by industry. Using data mining, we analyse all reports from US companies filed since January 2020, representing more than a third of all US employees. We construct two measures - the number of 'corona' words in each report and the average text negativity of the sentences mentioning corona in each industry - that are aggregated in the CoRisk-Index. The index correlates with U.S. unemployment data and preempts stock market losses of February 2020. Moreover, thanks to topic modelling and natural language processing techniques, the CoRisk data provides unique granularity with regards to the particular contexts of the crisis and the concerns of individual industries about them. The data presented here help researchers and decision makers to measure, the previously unobserved, risk awareness of industries with regard to Covid-19, bridging the quantification gap between highly volatile stock market dynamics and long-term macro-economic figures. For immediate access to the data, we provide all findings and raw data on an interactive online dashboard in real time.

scholarly journals Impacts of Coal Railroad Transportation Project on GDP Promotion and Unemployment Reduction in Bengkulu Province, Indonesia

2013 ◽  
Vol 216 ◽  
pp. 02-24
Author(s):  
PAULUS KURNIAWAN ◽  
KEMBAR SRI BUDHI ◽  
SUYANA UTAMA ◽  
MAHAENDRA YASA
Keyword(s):  
Significant Contribution ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Economic Indicator ◽  
Internal Rate Of Return ◽  
Benefit Analysis ◽  
Cost Benefit Ratio ◽  
Railroad System ◽  
The Unemployed ◽  
The Impact

massive, advanced and integrated railroad system for coal transportation (referred to hereafter as ?Project?) from Muara Enim, Sumatra Selatan Province to the new coal port at Pulau Baai, Bengkulu Province, Indonesia is developed by a private investor together with the local government (PEMDA) of Bengkulu Province to make the best use of abundant coal resources in the region. This paper analyzes the impact of this Project on the Bengkulu economy, which is currently considered low. The Gross Domestic Product (GDP) is adopted as the economic indicator. The study combines the theories of export base and economic base, economic and regional developments, cost-benefit analysis and economic impact study with the empirical data. The results show the Project?s financial feasibility with Cost-Benefit Ratio of 1.61, Internal Rate of Return of 21.1% and Payback Period of 5 years, which will provide a significant contribution to the Bengkulu GDP growth and a decrease of 821,600 people among the unemployed.

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