Energy systems and economies will be mineral-intensive

2021 ◽  
Keyword(s):  
Price Volatility ◽  
Energy Systems ◽  
Lead Times ◽  
Short Term ◽  
Financial Flows ◽  
Content Type ◽  
Reputational Risk ◽  
Critical Mineral ◽  
Supply Chain Risks ◽  
Competition For Resources

Significance Exploration, substitution and component minimisation will adapt supply to demand over time, but new supply chain risks will emerge, owing to narrow supply bases and long lead times between discovery and production. Impacts The mining sector is likely to attract increasing financial flows. Competition for resources will rise, especially in developing countries, and some resources may be subject to conflict. Governments may expand the volume and range of critical mineral stockpiles, which could heighten short-term price volatility and demand. Companies' use of conflict resources or minerals sourced from artisanal mining will carry significant reputational risk.

Financial innovations will evolve with global farming

2017 ◽  
Keyword(s):  
Financial Services ◽  
Agriculture Policy ◽  
Short Term ◽  
Wine Production ◽  
Content Type ◽  
Financial Innovations ◽  
The United Kingdom ◽  
Supply Chain Risks ◽  
The Eu ◽  
European Agriculture

Subject Financial innovation in European agriculture Significance Changes to Europe’s Common Agriculture Policy (CAP) are coinciding with increased political uncertainty to create new supply chain risks for farmers and agribusinesses. For financial services firms, there are opportunities to develop services and tools to manage and transfer critical risks. In 2015, European milk production quotas were abolished. Planting rights and quotas are due to be removed from sugar beet and wine production. Impacts Short-term uncertainty in trade agreements is likely to prompt firms to invest more in risk management. Brexit uncertainty may result in more variable demand, encouraging the use of financial services to stabilise incomes and price key risks. Ireland is exposed to the Brexit talks as the United Kingdom is a key importer of Irish products and Ireland is a land border with the EU.

scholarly journals Exploring the links between financial flows and economic growth: a panel ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amna Zardoub
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
The Other ◽  
Short Term ◽  
Financial Flows ◽  
Content Type ◽  
Panel Ardl ◽  
Long Run ◽  
Short Run

Purpose Globalization occupies a central research activity and remains an increasingly controversial phenomenon in economics. This phenomenon corresponds to a subject that can be criticized through its impact on national economies. On the other hand, the world economy is evolving in a liberalized environment in which foreign direct investment plays a fundamental role in the economic development of each country. The advent of financial flows – foreign direct investment, remittances and official development assistance – can be a key factor in the development of the economy. The purpose of this study is to analyze the effect of financial flows on economic growth in developing countries. Empirically, different approaches have been used. As part of this study, an attempt was made to use a combined autoregressive distributed lag (ARDL) panel approach to study the short-term and long-run effects of financial flows on economic growth. The results indicate ambiguous effects. Economically, the effect of financial flows on economic growth depends on the investor’s expectations. Design/methodology/approach To study the short-run and long-run effects of financial flows on economic growth, this paper considers an empirical approach based on the panel ARDL. This model makes it possible to distinguish between the short-run effect and the long-run one. This type of model is based on three estimators, namely, mean group, pooled mean group (PMG) and dynamic fixed effect. Findings Results confirm the existence of a long-run relationship because the adjustment coefficient (error correction parameter) is negative and statistically significant. This paper finds that the PMG estimator is more consistent and more efficient. In the short-run, foreign direct investment do negatively affect economic growth, the effect is no significant in the long-run. On the other hand, the effect of remittances on economic growth is significant in the short-run. However, it is no significant in the long-run. Finally, the results suggest that the effect of official development assistance on economic growth is insignificant; both in the long-run and in the short-run. Originality/value To study the interaction between financial flows and economic growth, some empirical methodology are used such as the dynamic panel data and the autoregressive vector (VAR) model. In this study, we apply the panel ARDL model to analyze the short-run and the long-run effect for each financial flow on economic growth. The objective is to study the heterogeneity on dynamic adjustment in the short-term and long-term.

scholarly journals Impact of generator start-up lead times on short-term scheduling with high shares of renewables

2020 ◽  
Vol 268 ◽  
pp. 114935
Author(s):  
Mathias Hermans ◽  
Kenneth Bruninx ◽  
Erik Delarue
Keyword(s):  
Lead Times ◽  
Short Term ◽  
Start Up

Estimating defaults in organized security lending markets

2016 ◽  
Vol 24 (3) ◽  
pp. 343-362
Author(s):  
Latif Cem Osken ◽  
Ceylan Onay ◽  
Gözde Unal
Keyword(s):  
Credit Risk ◽  
Stock Returns ◽  
Stock Price ◽  
Price Volatility ◽  
Equity Market ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Content Type ◽  
Central Counterparties ◽  
Risk Determinants

Purpose This paper aims to analyze the dynamics of the security lending process and lending markets to identify the market-wide variables reflecting the characteristics of the stock borrowed and to measure the credit risk arising from lending contracts. Design/methodology/approach Using the data provided by Istanbul Settlement and Custody Bank on the equity lending contracts of Securities Lending and Borrowing Market between 2010 and 2012 and the data provided by Borsa Istanbul on Equity Market transactions for the same timeframe, this paper analyzes whether stock price volatility, stock returns, return per unit amount of risk and relative liquidity of lending market and equity market affect the defaults of lending contracts by using both linear regression and ordinary least squares regression for robustness and proxying the concepts of relative liquidity, volatility and return constructs by more than variable to correlate findings. Findings The results illustrate a statistically significant relationship between volatility and the default state of the lending contracts but fail to establish a connection between default states and stock returns or relative liquidity of markets. Research limitations/implications With the increasing pressure for clearing security lending contracts in central counterparties, it is imperative for both central counterparties and regulators to be able to precisely measure the risk exposure due to security lending transactions. The results gained from a limited set of lending transactions merit further studies to identify non-borrower and non-systemic credit risk determinants. Originality/value This is the first study to analyze the non-borrower and non-systemic credit risk determinants in security lending markets.

Propagation of risks and their impact on performance in fresh food retail

2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Measures ◽  
Theory And Practice ◽  
Food Retail ◽  
Content Type ◽  
Fresh Food ◽  
Retail Supply Chains ◽  
And Performance ◽  
Supply Chain Risks

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.

The dependence structure in volatility between Shanghai and Shenzhen stock market in China

2016 ◽  
Vol 6 (3) ◽  
pp. 264-283 ◽  
Author(s):  
Mingyuan Guo ◽  
Xu Wang
Keyword(s):  
Stock Market ◽  
High Frequency ◽  
Estimation Method ◽  
Garch Model ◽  
Price Volatility ◽  
Market Volatility ◽  
High Frequency Data ◽  
Dependence Structure ◽  
Frequency Data ◽  
Content Type

Purpose – The purpose of this paper is to analyse the dependence structure in volatility between Shanghai and Shenzhen stock market in China based on high-frequency data. Design/methodology/approach – Using a multiplicative error model (hereinafter MEM) to describe the margins in volatility of China’s Shanghai and Shenzhen stock market, this study adopts static and time-varying copulas, respectively, estimated by maximum likelihood estimation method to describe the dependence structure in volatility between Shanghai and Shenzhen stock market in China. Findings – This paper has identified the asymmetrical dependence structure in financial market volatility more precisely. Gumbel copula could best fit the empirical distribution as it can capture the relatively high dependence degree in the upper tail part corresponding to the period of volatile price fluctuation in both static and dynamic view. Originality/value – Previous scholars mostly use GARCH model to describe the margins for price volatility. As MEM can efficiently characterize the volatility estimators, this paper uses MEM to model the margins for the market volatility directly based on high-frequency data, and proposes a proper distribution for the innovation in the marginal models. Then we could use copula-MEM other than copula-GARCH model to study on the dependence structure in volatility between Shanghai and Shenzhen stock market in China from a microstructural perspective.

Short-term effects of milkshake containing polydextrose and maltodextrin on subjective feelings of appetite, energy intake and blood glucose in healthy females

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
İsmail Mücahit Alptekin ◽  
Ece Erdoğan ◽  
Aylin İşler ◽  
Esma Cansu Yanalak ◽  
Funda Pınar Çakiroğlu ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Energy Intake ◽  
Postprandial Blood Glucose ◽  
Dietary Fibers ◽  
Analog Scale ◽  
Short Term ◽  
Content Type ◽  
Ad Libitum ◽  
Desire To Eat ◽  
Healthy Females

Purpose Previous studies have reported that dietary fibers such as polydextrose and maltodextrin can reduce food intake; however, the studies on the differences of this effect are insufficient. The purpose of this paper is to compare the effects of dietary fibers maltodextrin and polydextrose on alterations of short-term satiety, energy intake and postprandial blood glucose in healthy females. Design/methodology/approach This study was designed as a randomized, crossover and double blind research. For this purpose, 21 healthy females consumed a milkshake containing 0 g (control), 15 g polydextrose (PDX) and 15 g maltodextrin (MDX), and an ad libitum lunch meal was served 150 min later. Subjective appetite scores (hunger, satiety, prospective food consumption and desire to eat) were measured using a visual analog scale. Appetite scores and blood glucose were measured before preload and once per 15 min after milkshake consumption. Findings Visual analog scale scores showed that PDX had an improved effect on satiety and hunger feelings. Compared to the control, dietary fiber increased the Area Under Curve (AUC) scores of satiety (p < 0.001) and decreased the AUC scores of hunger (p < 0.001), prospective food consumption (p < 0.001) and desire to eat (p < 0.001). Energy intake during ad libitum meal was significantly lower in PDX (Control: 862 (54.3) Kcal versus PDX: 679 (35.4) Kcal and MDX: 780 (49.3) Kcal. Moreover, the blood glucose levels were significantly lower in MDX. Originality/value This study conducted with healthy females demonstrated that PDX was more effective in inducing satiety during subsequent food intake, and that postprandial blood glucose were within more healthy levels in MDX.

Volatility integration of gold and crude oil prices with the interest rates in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shailesh Rastogi ◽  
Adesh Doifode ◽  
Jagjeevan Kanoujiya ◽  
Satyendra Pratap Singh
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Interest Rates ◽  
Global Economy ◽  
Spillover Effect ◽  
Price Volatility ◽  
Volatility Spillover ◽  
Content Type ◽  
Crude Oil Prices ◽  
The Impact

PurposeCrude oil, gold and interest rates are some of the key indicators of the health of domestic as well as global economy. The purpose of the study is to find the shock volatility and price volatility effects of gold and crude oil market on interest rates in India.Design/methodology/approachThis study finds the mutual and directional association of the volatility of gold, crude oil and interest rates in India. The bi-variate GARCH models (Diagonal VEC GARCH and BEKK GARCH) are applied on the sample data of gold price, crude oil price and yield (interest rate) gathered from November 30, 2015 to November 16, 2020 (weekly basis) to investigate the volatility association including the volatility spillover effect in the three markets.FindingsThe main findings of the study focus on having a long-term conditional correlation between gold and interest rates, but there is no evidence of volatility spillover from gold and crude oil on the interest rates. The findings of the study are of great importance especially to the policymakers, as they state that the fluctuations in prices of gold and crude oil do not adversely impact the interest rates in India. Therefore, the fluctuations in prices of gold and crude may generally impact the economy, but it has nothing to do with interest rate in particular. This implies that domestic and foreign investments in the country will not be affected by gold and crude oil that are largely driven by interest rates in the country.Practical implicationsGold and crude oil are two very important commodities that have their importance not only for domestic affairs but also for international business. They veritably influence the economy including forex exchange for any nation. In addition to this, the researchers believe the findings will provide insights to policymakers, stakeholders and investors.Originality/valueGold and crude oil undoubtedly influence the exchange rates but their impact on the interest rates in an economy is not definite and remains ambiguous owing to the mixed findings of the studies. The lack of studies related to the impact of gold and crude oil on the interest rates, despite them being essentials for the health of any economy is the main motivation of this study. This study is novel as it investigates the volatility impact of crude oil and gold on interest rates and contributes to the existing literature with its findings.

Purchasing behaviour and supplier base evolution – a longitudinal case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anna Dubois ◽  
Lars-Erik Gadde ◽  
Lars-Gunnar Mattsson
Keyword(s):  
Design Methodology ◽  
Longitudinal Case Study ◽  
Short Term ◽  
Supplier Relationships ◽  
Content Type ◽  
Research Findings ◽  
Purchasing Behaviour ◽  
Time Periods

Purpose The purpose of the paper is to describe and analyse the evolution of the supplier base of a buying firm and the reasons behind these changes. Design/methodology/approach The paper is based on a case study of the changes over 52 years in a sub-set of the supplier base of a firm manufacturing fork-lifts. Findings The study shows that some relationships feature substantial longevity. However, the duration of one-third of the total relationships is shorter than five years. There was considerable variation over time in the dynamics of the supplier base in terms of entries and exits of suppliers. Owing to this variation, research findings and conclusions in short-term studies are heavily dependent on the specific conditions at the time of the study. Finally, no less than one-fourth of the terminated supplier relationships were reactivated later. Research limitations/implications The study was designed in a time when purchasing was considered entirely from the perspective of the buying firm. Further studies, therefore, must increasingly emphasise the role of suppliers and the interaction in the buyer–supplier relationships, as well as the embeddedness in networks. Originality/value The findings of the study are unique in two ways. First, they are based on systematic observations over more than 50 years. Second, the study involves the purchases of 11 components representing different technical and economic features. The (few) previous studies are based on much shorter time periods and involves fewer suppliers/components. Moreover, the findings regarding re-activation of terminated relationships represent unique contributions.

Florida voters react to Biden's Caribbean policy

2021 ◽  
Keyword(s):  
Disaster Relief ◽  
Electoral Politics ◽  
The State ◽  
Pivotal Role ◽  
Economic Recovery ◽  
Short Term ◽  
Content Type ◽  
Family Connections ◽  
The Caribbean ◽  
The Government

Significance Many areas of the Caribbean have trade, investment and family connections with communities in Florida. As the state now plays a pivotal role in US electoral politics, crises in the region can take on added political importance for parts of Florida’s electorate. Impacts Forecasts of short-term economic recovery for Florida remain highly uncertain given the continuing impact of the pandemic. Clashing interests across the Caribbean may demand greater coordination of US policy than the government can currently offer. Healthcare and disaster relief capabilities within the state are severely overstretched and could be overwhelmed by a new crisis.

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