Collateral Damage: The Impact of Shale Gas on Mortgage Lending

2021 ◽  
Author(s):  
Yanyou Chen ◽  
James W. Roberts ◽  
Christopher D. Timmins ◽  
Ashley Vissing
Keyword(s):  
Shale Gas ◽  
Mortgage Lending ◽  
Collateral Damage ◽  
The Impact

scholarly journals Collateral Damage: The Impact of Shale Gas on Mortgage Lending

2021 ◽  
Author(s):  
Yanyou Chen ◽  
James Roberts ◽  
Christopher Timmins ◽  
Ashley Vissing
Keyword(s):  
Shale Gas ◽  
Mortgage Lending ◽  
Collateral Damage ◽  
The Impact

scholarly journals Collateral Damage: The Impact of Foreclosures on New Home Mortgage Lending in the 1930s

2018 ◽  
Author(s):  
Price Fishback ◽  
Sebastián Fleitas ◽  
Jonathan Rose ◽  
Kenneth Snowden
Keyword(s):  
Mortgage Lending ◽  
Collateral Damage ◽  
Home Mortgage ◽  
The Impact

scholarly journals Collateral Damage: The Impact of Foreclosures on New Home Mortgage Lending in the 1930s

2020 ◽  
Vol 80 (3) ◽  
pp. 853-885
Author(s):  
Price Fishback ◽  
Sebastian Fleitas ◽  
Jonathan Rose ◽  
Ken Snowden
Keyword(s):  
Real Estate ◽  
Great Depression ◽  
Mortgage Lending ◽  
Credit Crunch ◽  
Collateral Damage ◽  
Balance Sheets ◽  
The Great Depression ◽  
Mortgage Credit ◽  
Home Mortgage ◽  
The Impact

The Great Depression of the 1930s involved a severe disruption in the supply of home mortgage credit. This paper empirically identifies a mechanism lying behind this credit crunch: the impairment of lenders’ balance sheets by illiquid foreclosed real estate. With data on hundreds of building and loans (B&Ls), the leading mortgage lenders in this period, we find that the overhang of foreclosed real estate explains about 30 percent of the drop in new lending between 1930 and 1935.

The Impact of Heat Flow Variations in Shale Gas Evaluation: A Haynesville Shale Case Study

2013 ◽  
Author(s):  
Aimen Amer ◽  
Rolando di Primio ◽  
Robert Ondrak ◽  
Vikram Unnithan
Keyword(s):  
Heat Flow ◽  
Shale Gas ◽  
The Impact ◽  
Heat Flow Variations

Revealing of the specificity of mortgage housing lending based on the results of clustering of regions

2021 ◽  
Vol 27 (12) ◽  
pp. 2679-2697
Author(s):  
Lyudmila E. ROMANOVA ◽  
Anna L. SABININA ◽  
Andrei I. CHUKANOV ◽  
Dar’ya M. KORSHUNOVA
Keyword(s):  
Systems Approach ◽  
Mortgage Lending ◽  
Effective Algorithm ◽  
Russian Regions ◽  
Local Conditions ◽  
Partitioning Around Medoids ◽  
Analysis And Synthesis ◽  
The Russian Federation ◽  
The Impact ◽  
Regions Of Russia

Subject. This article deals with the particularities of the development of housing mortgage lending in the regions of Russia. Objectives. The article aims to substantiate the need for clustering of territorial entities by level of development of mortgage housing lending in Russia and test the most effective algorithm for mortgage clustering of regions. Methods. For the study, we used a systems approach, including scientific abstraction, analysis and synthesis, and statistical methods of data analysis. The algorithm k-medoids – Partitioning Around Medoids (PAM) was also used. Results. Based on the results of the study of regional statistics of the Russian Federation, the article reveals a significant asymmetry in the values of key socioeconomic indices that determine the level and dynamics of housing mortgages in the regions. This necessitates the clustering of territorial entities according to the level of development of mortgage housing lending in the country. To take into account the impact of various local conditions in assessing the prospects for the development of regional housing mortgages, the article proposes an indicator, namely, the integral regional mortgage affordability index. On its basis, in accordance with the selected clustering procedure, the article identifies five mortgage clusters in Russia and identifies their representative regions. Conclusions. Based on the analysis of the specificity of the development of regional mortgages in the Tula Oblast, taking into account the implementation of the target State programme, the article concludes that it is necessary to improve the mechanisms for financing regional mortgage programmes and justifies the need to develop differentiated programmes for the development of housing mortgages in groups of Russian regions.

NEGATIVE INFLUENCE OF MORTGAGE LOANS ON THE DEMOGRAPHIC SITUATION IN RUSSIA

2021 ◽  
Author(s):  
A.V. Velegurov ◽  
◽  
V.S. Istomin ◽  
Keyword(s):  
Birth Rate ◽  
Negative Influence ◽  
Mortgage Lending ◽  
Mortgage Loans ◽  
Demographic Situation ◽  
The Impact

The article examines the problem of fertility in Russia, the impact of mortgage lending on it, as well as methods of influence to stabilize the birth rate

scholarly journals Investigation of the Main Factors During Shale-gas Production Using Grey Relational Analysis

2016 ◽  
Vol 9 (1) ◽  
pp. 207-215 ◽  
Author(s):  
Hongling Zhang ◽  
Jing Wang ◽  
Haiyong Zhang
Keyword(s):  
Shale Gas ◽  
Gas Production ◽  
Gas Reservoirs ◽  
Fracture Conductivity ◽  
Matrix Permeability ◽  
Shale Gas Reservoirs ◽  
Main Factors ◽  
Grey Relational ◽  
The Impact ◽  
Half Length

Shale gas is one of the primary types of unconventional reservoirs to be exploited in search for long-lasting resources. Production from shale gas reservoirs requires horizontal drilling with hydraulic fracturing to achieve the most economic production. However, plenty of parameters (e.g., fracture conductivity, fracture spacing, half-length, matrix permeability, and porosity,etc) have high uncertainty that may cause unexpected high cost. Therefore, to develop an efficient and practical method for quantifying uncertainty and optimizing shale-gas production is highly desirable. This paper focuses on analyzing the main factors during gas production, including petro-physical parameters, hydraulic fracture parameters, and work conditions on shale-gas production performances. Firstly, numerous key parameters of shale-gas production from the fourteen best-known shale gas reservoirs in the United States are selected through the correlation analysis. Secondly, a grey relational grade method is used to quantitatively estimate the potential of developing target shale gas reservoirs as well as the impact ranking of these factors. Analyses on production data of many shale-gas reservoirs indicate that the recovery efficiencies are highly correlated with the major parameters predicted by the new method. Among all main factors, the impact ranking of major factors, from more important to less important, is matrix permeability, fracture conductivity, fracture density of hydraulic fracturing, reservoir pressure, total organic content (TOC), fracture half-length, adsorbed gas, reservoir thickness, reservoir depth, and clay content. This work can provide significant insights into quantifying the evaluation of the development potential of shale gas reservoirs, the influence degree of main factors, and optimization of shale gas production.

Marcellus Shale Gas Boom and Forestry Employment: Evidence from West Virginia

2021 ◽  
Author(s):  
Kathryn A Gazal ◽  
Kathleen G Arano
Keyword(s):  
West Virginia ◽  
Shale Gas ◽  
Marcellus Shale ◽  
Growth Potential ◽  
Adverse Impact ◽  
Relative Wage ◽  
Forestry Sector ◽  
Movement Effect ◽  
The Impact

Abstract Advancement in drilling technology has increased natural gas extraction activities from the Marcellus shale deposit resulting in a shale gas boom in many regions, including West Virginia. This boom has created a significant labor demand shock to local economies experiencing the boom. A number of studies have shown that a shale gas boom directly increases employment and the income of those working in the industry. However, the boom can also have an adverse impact on other sectors through the resource movement effect and intersector labor mobility, pulling workers away from a related sector like forestry. Thus, an econometric model of employment in the forestry sector was developed to investigate the impact of the Marcellus shale gas boom in West Virginia. There is evidence of a labor movement effect with forestry employment negatively affected by the Marcellus shale boom. Specifically, the overall marginal effect of the shale boom on forestry employment is approximately 435 fewer jobs. However, the extent of the decline is slightly moderated by a higher relative wage between gas and forestry, perhaps suggesting diminishing returns and overall slack in the local labor market. Study Implications Although a Marcellus shale gas boom directly increases employment and the income of those working in that industry, it can have an adverse impact on other sectors by pulling workers away from a related sector like forestry. This study showed that employment in the West Virginia forestry sector was negatively affected by the shale gas boom. An important policy issue is how to manage the cyclical nature of shale gas booms and the negative impacts on other industries with long-term growth potential, like the forestry sector. This sector does not suffer through boom-and-bust cycles, making it important for long-term economic stability.

scholarly journals Numerical Simulation of Shale Gas Multiscale Seepage Mechanism-Coupled Stress Sensitivity

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Xun Yan ◽  
Jing Sun ◽  
Dehua Liu
Keyword(s):  
Shale Gas ◽  
Gas Flow ◽  
Gas Transport ◽  
Sensitivity Coefficient ◽  
Stress Sensitivity ◽  
Gas Production ◽  
Molecular Flow ◽  
Adsorption Phenomenon ◽  
Gas Seepage ◽  
The Impact

The complexity of the gas transport mechanism in microfractures and nanopores is caused by the feature of multiscale and multiphysics. Figuring out the flow mechanism is of great significance for the efficient development of shale gas. In this paper, an apparent permeability model which covers continue, slip, transition, and molecular flow and geomechanical effect was presented. Additionally, a mathematical model comprising multiscale, geomechanics, and adsorption phenomenon was proposed to characterize gas flow in the shale reservoir. The aim of this paper is to investigate some important impacts in the process of gas transportation, which includes the shale stress sensitivity, adsorption phenomenon, and reservoir porosity. The results reveal that the performance of the multistage fractured horizontal well is strongly influenced by stress sensitivity coefficient. The cumulative gas production will decrease sharply when the shale gas reservoir stress sensitivity coefficient increases. In addition, the adsorption phenomenon has an influence on shale gas seepage and sorption capacity; however, the effect of adsorption is very weak in the early gas transport period, and the impact of later will increase. Moreover, shale porosity also greatly affects the shale gas transportation.

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