The Impact of Information Releases on Market Uncertainty: An Energy Market Perspective

Author(s):  
Louis H. Ederington ◽  
Fang Lin ◽  
Lisa Yang
2019 ◽  
Vol 40 (01) ◽  
Author(s):  
Mehmet Balcilar ◽  
David Roubaud ◽  
Muhammad Shahbaz

2016 ◽  
pp. 59-70
Author(s):  
Ninh Le Khuong ◽  
Nghiem Le Tan ◽  
Tho Huynh Huu

This paper aims to detect the impact of firm managers’ risk attitude on the relationship between the degree of output market uncertainty and firm investment. The findings show that there is a negative relationship between these two aspects for risk-averse managers while there is a positive relationship for risk-loving ones, since they have different utility functions. Based on the findings, this paper proposes recommendations for firm managers to take into account when making investment decisions and long-term business strategies as well.


2021 ◽  
Vol 13 (8) ◽  
pp. 4418
Author(s):  
Miraj Ahmed Bhuiyan ◽  
Jaehyung An ◽  
Alexey Mikhaylov ◽  
Nikita Moiseev ◽  
Mir Sayed Shah Danish

The main goal of this study is to evaluate the impact of restrictive measures introduced in connection with COVID-19 on consumption in renewable energy markets. The study will be based on the hypothesis that similar changes in human behavior can be expected in the future with the further spread of COVID-19 and/or the introduction of additional quarantine measures around the world. The analysis also yielded additional results. The strongest reductions in energy generation occurred in countries with a high percentage (more than 80%) of urban population (Brazil, USA, the United Kingdom and Germany). This study uses two models created with the Keras Long Short-Term Memory (Keras LSTM) Model, and 76 and 10 parameters are involved. This article suggests that various restrictive strategies reduced the sustainable demand for renewable energy and led to a drop in economic growth, slowing the growth of COVID-19 infections in 2020. It is unknown to what extent the observed slowdown in the spread from March 2020 to September 2020 due to the policy’s impact and not the interaction between the virus and the external environment. All renewable energy producers decreased the volume of renewable energy market supply in 2020 (except China).


Author(s):  
Barbara Antonioli

- The reorganization of the energy market, together with an increase in the mobility of resources and the evolution of supply, have reduced borders between national and local market, and both regulatory policies and players' strategies have to consider these renewed environment. The goal of this paper is to make some considerations about the dimension and the interactions between national and locals, up-stream and downstream energy markets, both in terms of value chain phases regulation and of the impact on firms' organization and on the industry as a whole. We want to highlight evident problems of coordination of different rules, the necessity to define a clear national industrial policy (not fragmented at local level), as well as the relevance of the end user prices regulation for liberalized market. In particular, this kind of regulation seems to represent a key point of the current discussion between operators and the energy Authority. The end users price regulation present some critical aspects related to its (contested) limited contribution to a real price competition but, on the other side, had to be considered as a strong protection for domestic customers, as well as a way to reduce information asymmetry.Key words: Energy, competition, regulation.JEL classifications: H1, K2.Parole chiave: Energia, concorrenza, regolazione.


Author(s):  
Christian Kontermann ◽  
Henning Almstedt ◽  
Falk Müller ◽  
Matthias Oechsner

Changes within the global energy market and a demand for a more flexible operation of gas- and steam-turbines leads to higher utilization of main components and raises the question how to deal with this challenge. One strategy to encounter this is to increase the accuracy of the lifetime assessment by quantifying and reducing conservatisms. At first the impact of considering a fracture mechanical notch support under creep-fatigue loading is studied by discussing the results of an extensive experimental program performed on notched round-bars under global strain control. A proposal how to consider this fracture mechanical notch support within a lifetime assessment is part of the discussion of the second part. Here, a theoretical FEM-based concept is introduced and validated by comparing the theoretical prediction with the results of the previously mentioned experimental study. Finally, the applicability of the developed and validated FEM-based procedure is demonstrated.


2017 ◽  
Vol 68 (2) ◽  
Author(s):  
Dominik Kronen ◽  
Ansgar Belke

AbstractIn light of the rising political and economic uncertainty in Europe, we aim to provide a basic understanding of the impact of policy and stock market uncertainty on a set of macroeconomic variables such as production and investment. In this paper, we apply a structural vector autoregressive (SVAR) model to gain first insights that may help to identify avenues for further research. We find that stock market volatility shows a fairly consistently negative effect. However, the implications of policy uncertainty for Europe and the euro area in particular are not so straightforward.


2018 ◽  
Vol 11 (2) ◽  
pp. 169-186 ◽  
Author(s):  
Omokolade Akinsomi ◽  
Yener Coskun ◽  
Rangan Gupta ◽  
Chi Keung Marco Lau

PurposeThis paper aims to examine herding behaviour among investors and traders in UK-listed Real Estate Investment Trusts (REITs) within three market regimes (low, high and extreme volatility periods) from the period June 2004 to April 2016.Design/methodology/approachObservations of investors in 36 REITs that trade on the London Stock Exchange as at April 2016 were used to analyse herding behaviour among investors and traders of shares of UK REITs, using a Markov regime-switching model.FindingsAlthough a static herding model rejects the existence of herding in REITs markets, estimates from the regime-switching model reveal substantial evidence of herding behaviour within the low volatility regime. Most interestingly, the authors observed a shift from anti-herding behaviour within the high volatility regime to herding behaviour within the low volatility regime, with this having been caused by the FTSE 100 Volatility Index (UK VIX).Originality/valueThe results have various implications for decisions regarding asset allocation, diversification and value management within UK REITs. Market participants and analysts may consider that collective movements and market sentiment/psychology are determinative factors of risk-return in UK REITs. In addition, general uncertainty in the equity market, proxied by the impact of the UK VIX, may also provide a signal for increasing herding-related risks among UK REITs.


2017 ◽  
Vol 15 (3) ◽  
pp. e0115 ◽  
Author(s):  
Pilar Martinez ◽  
María Blanco ◽  
Benjamin Van Doorslaer ◽  
Fabien Ramos ◽  
Andrej Ceglar

Recent studies point to climate change being one of the long-term drivers of agricultural market uncertainty. To advance in the understanding of the influence of climate change on future agricultural market developments, we compared a baseline scenario for the year 2030 with alternative simulation scenarios that differ regarding: (1) emission scenarios; (2) climate projections; and (3) the consideration of carbon fertilization effects on crop growth. For each simulation scenario, the CAPRI model provides global and EU-wide impacts of climate change on agricultural markets. Results showed that climate change would considerably affect agrifood markets up to 2030. Nevertheless, market-driven adaptation strategies (production intensification, trade adjustments) would soften the impact of yield shocks on supply and demand. As a result, regional changes in production would be lower than foreseen by other studies focused on supply effects.


2022 ◽  
pp. 75-93
Author(s):  
Nima Norouzi

The objective of this chapter was to structurally model the high priority factors in the face of the impact of severe acute respiratory syndrome COVID-19 on the energy market. The method was based on interpretive structural modeling, and the matrix of crossed impacts multiplication was applied to classification. A model of 12 factors structured hierarchically in six levels is proposed in which consumption preferences, regulatory and normative modifications, political restrictions, and planning strategies have the greatest influence on the energy market from the perspective of China. As a result of this, it is suggested to move towards greater participation of public and private actors in renewable energy vectors.


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