Impact of Climate Risk Factors on Valuations of China A-Share Market

2020 ◽  
pp. 171-196
Author(s):  
Entela Benz-Saliasi
Keyword(s):  
Risk Factors ◽  
Climate Risk ◽  
A Share

scholarly journals Burden and prevalence of risk factors for severe COVID-19 in the ageing European population – a SHARE-based analysis

2021 ◽  
Author(s):  
Linda Juel Ahrenfeldt ◽  
Camilla Riis Nielsen ◽  
Sören Möller ◽  
Kaare Christensen ◽  
Rune Lindahl-Jacobsen
Keyword(s):  
Risk Factors ◽  
European Population ◽  
A Share

scholarly journals Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-Of-Sample Forecasting Experiment

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8085
Author(s):  
Rangan Gupta ◽  
Christian Pierdzioch
Keyword(s):  
Risk Factors ◽  
Computational Linguistics ◽  
Oil And Gas ◽  
Realized Volatility ◽  
Climate Risk ◽  
Shrinkage Estimators ◽  
Forecast Horizon ◽  
Climate Risks ◽  
Out Of Sample ◽  
Oil And Natural Gas

We extend the widely-studied Heterogeneous Autoregressive Realized Volatility (HAR-RV) model to examine the out-of-sample forecasting value of climate-risk factors for the realized volatility of movements of the prices of crude oil, heating oil, and natural gas. The climate-risk factors have been constructed in recent literature using techniques of computational linguistics, and consist of daily proxies of physical (natural disasters and global warming) and transition (U.S. climate policy and international summits) risks involving the climate. We find that climate-risk factors contribute to out-of-sample forecasting performance mainly at a monthly and, in some cases, also at a weekly forecast horizon. We demonstrate that our main finding is robust to various modifications of our forecasting experiment, and to using three different popular shrinkage estimators to estimate the extended HAR-RV model. We also study longer forecast horizons of up to three months, and we account for the possibility that policymakers and forecasters may have an asymmetric loss function.

Modeling Demographic Relocation in Response to Climate Risk Factors and Gentrification Displacement Pressures

2021 ◽  
pp. 036119812110363
Author(s):  
Sneha Roy ◽  
Pragun Vinayak ◽  
David Von Stroh
Keyword(s):  
Risk Factors ◽  
Low Income ◽  
Travel Demand ◽  
Climate Adaptation ◽  
Regional Climate ◽  
High Growth ◽  
Climate Risk ◽  
Demand Model ◽  
Modeling Tools ◽  
Planning Processes

Climate risk factors, including wildfire, sea level rise, inland flooding, and extreme heat, as well as gentrification displacement pressures will be primary drivers of migration in the coming years. Travel demand modeling relies on reasonable and appropriate forecasts of demographic totals at the detail of travel analysis zones. Methodologies for developing scenarios in response to individual and combined climate risk factors are described, drawing on work undertaken for the Southern California Association of Governments SoCal Regional Climate Adaptation Framework. Methodologies for developing scenarios in response to gentrification displacement pressures of low-income workers are described, drawing on work carried out for the California Statewide Freight Forecasting and Travel Demand Model. These methodologies leverage modeling tools that are readily available to agencies, allowing for rapid testing of scenarios and integration with other planning processes. Climate adaptation and housing policy, respectively, are currently in need of greater integration and coordination. Future directions are explored to integrate these methodologies and create a combined demographic relocation model, sensitive to both climate risk factors and the affordability and gentrification displacement pressures arising out of shifting demand–supply dynamics and population–job balance in high growth areas.

Elevated level of circulatory sTLT1 induces inflammation through SYK/MEK/ERK signalling in coronary artery disease

2019 ◽  
Vol 133 (22) ◽  
pp. 2283-2299
Author(s):  
Apabrita Ayan Das ◽  
Devasmita Chakravarty ◽  
Debmalya Bhunia ◽  
Surajit Ghosh ◽  
Prakash C. Mandal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Chronic Inflammation ◽  
Ex Vivo ◽  
Human Subjects ◽  
Critical Role ◽  
Atherosclerotic Cardiovascular Disease ◽  
Tnf Α ◽  
Artery Disease

Abstract The role of inflammation in all phases of atherosclerotic process is well established and soluble TREM-like transcript 1 (sTLT1) is reported to be associated with chronic inflammation. Yet, no information is available about the involvement of sTLT1 in atherosclerotic cardiovascular disease. Present study was undertaken to determine the pathophysiological significance of sTLT1 in atherosclerosis by employing an observational study on human subjects (n=117) followed by experiments in human macrophages and atherosclerotic apolipoprotein E (apoE)−/− mice. Plasma level of sTLT1 was found to be significantly (P<0.05) higher in clinical (2342 ± 184 pg/ml) and subclinical cases (1773 ± 118 pg/ml) than healthy controls (461 ± 57 pg/ml). Moreover, statistical analyses further indicated that sTLT1 was not only associated with common risk factors for Coronary Artery Disease (CAD) in both clinical and subclinical groups but also strongly correlated with disease severity. Ex vivo studies on macrophages showed that sTLT1 interacts with Fcɣ receptor I (FcɣRI) to activate spleen tyrosine kinase (SYK)-mediated downstream MAP kinase signalling cascade to activate nuclear factor-κ B (NF-kB). Activation of NF-kB induces secretion of tumour necrosis factor-α (TNF-α) from macrophage cells that plays pivotal role in governing the persistence of chronic inflammation. Atherosclerotic apoE−/− mice also showed high levels of sTLT1 and TNF-α in nearly occluded aortic stage indicating the contribution of sTLT1 in inflammation. Our results clearly demonstrate that sTLT1 is clinically related to the risk factors of CAD. We also showed that binding of sTLT1 with macrophage membrane receptor, FcɣR1 initiates inflammatory signals in macrophages suggesting its critical role in thrombus development and atherosclerosis.

The Preschool Stuttering Screen for Health Care Professionals

2011 ◽  
Vol 21 (2) ◽  
pp. 59-62
Author(s):  
Joseph Donaher ◽  
Christina Deery ◽  
Sarah Vogel
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Differential Diagnosis ◽  
Preschool Children ◽  
Health Care Professionals ◽  
Healthcare Professionals ◽  
Evidence Based ◽  
Developmental Profile

Healthcare professionals require a thorough understanding of stuttering since they frequently play an important role in the identification and differential diagnosis of stuttering for preschool children. This paper introduces The Preschool Stuttering Screen for Healthcare Professionals (PSSHP) which highlights risk factors identified in the literature as being associated with persistent stuttering. By integrating the results of the checklist with a child’s developmental profile, healthcare professionals can make better-informed, evidence-based decisions for their patients.

Clinical Response to Questions Regarding Outcomes and Therapy Efficacy

2010 ◽  
Vol 20 (3) ◽  
pp. 76-83 ◽  
Author(s):  
Joseph Donaher ◽  
Tom Gurrister ◽  
Irving Wollman ◽  
Tim Mackesey ◽  
Michelle L. Burnett
Keyword(s):  
Risk Factors ◽  
Clinical Response ◽  
Speech Language Pathologists ◽  
Specific Therapy ◽  
Therapy Efficacy ◽  
Therapy Program ◽  
Adults Who Stutter ◽  
Cure Rates

Parents of children who stutter and adults who stutter frequently ask speech-language pathologists to predict whether or not therapy will work. Even though research has explored risk-factors related to persistent stuttering, there remains no way to determine how an individual will react to a specific therapy program. This paper presents various clinicians’answers to the question, “What do you tell parents or adults who stutter when they ask about cure rates, outcomes, and therapy efficacy?”

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