scholarly journals COVID-19 and Its Impact on the Indian Economy

2021 ◽  
pp. 097226292198912
Author(s):  
Vikas Barbate ◽  
Rajesh N. Gade ◽  
Shirish S. Raibagkar
Keyword(s):  
Oil Prices ◽  
Economic Activities ◽  
Short Term ◽  
Indian Economy ◽  
The Great Depression ◽  
Windfall Gain ◽  
Crude Oil Prices ◽  
Tree Approach ◽  
Silver Lining

Pessimism looms large all over. COVID-19 has been projected as worse than the Great Depression of 1930. Everyday analyst and agency reports are diving into new bottoms of a fall-down in economic activities. Indian economy, however, has a slightly different story to tell at this hour of crisis. The silver lining for the Indian economy comes from a steep fall in the crude oil prices from around $70 per barrel to a record 18 years low of $22 per barrel. This windfall gain can, to some extent, offset the direct losses due to COVID-19. At the same time, dreams like a $5 trillion economy no longer look even a remote possibility. This article takes stock of the likely impact of COVID-19 on the Indian economy in the short term and the long term. A decision-tree approach has been adopted for doing the projections.

scholarly journals Covid-19 Pandemic And Its Likely Effect On Economic Development: An Opinion Survey of Professionals

2021 ◽  
Vol 2 (5) ◽  
pp. 388-397
Author(s):  
Atul Kumar ◽  
Amol Gawande ◽  
Vinaydeep Brar
Keyword(s):  
Economic Development ◽  
Crude Oil ◽  
Great Depression ◽  
Opinion Survey ◽  
Economic Activities ◽  
Indian Economy ◽  
The Great Depression ◽  
The Impact ◽  
Silver Lining ◽  
Indian Economic Development

The air is full of pessimism. The impact of Covid-19 has been anticipated as more awful than the Great Depression of 1930. Consistently analysts and agency reports are plunging into new bottoms of a tumbledown in economic activities. Indian economy, however, has a somewhat slightly different story to tell at this hour of crisis. The silver lining for the Indian economy originates from a lofty fall in crude oil costs from around $70 per barrel to a record multi-year low of $22 per barrel. They have ascended to levels of around $40 per barrel over the most recent months. This benefit increases can somewhat balance the immediate misfortunes due to Covid-19. Simultaneously, dreams like a $5 trillion economy no longer look even a distant chance. This article checks out the possible effect of Covid-19 on Indian economic development through a survey of 400 professionals the nation over.

scholarly journals Selection of Machine Learning Models for Oil Price Forecasting: Based on the Dual Attributes of Oil

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Lei Yan ◽  
Yuting Zhu ◽  
Haiyan Wang
Keyword(s):  
Machine Learning ◽  
Crude Oil ◽  
Short Term Memory ◽  
Oil Prices ◽  
Principal Component ◽  
Oil Price ◽  
Locally Linear Embedding ◽  
Short Term ◽  
Crude Oil Prices

Since the commodity and financial attributes of crude oil will have a long-term or short-term impact on crude oil prices, we propose a de-dimension machine learning model approach to forecast the international crude oil prices. First, we use principal component analysis (PCA), multidimensional scale (MDS), and locally linear embedding (LLE) methods to reduce the dimensions of the data. Then, based on the recurrent neural network (RNN) and long-term and short-term memory (LSTM) models, we build eight models for predicting the future and spot prices of international crude oil. From the analysis and comparison of the prediction results, we find that reducing the dimension of the data can improve the accuracy of the model and the applicability of RNN and LSTM models. In addition, the LLE-RNN/LSTM models can most successfully capture the nonlinear characteristics of crude oil prices. When the moving window size is twenty, that is, when crude oil price data are lagging by almost a month, each model can minimize its error, and the LLE-RNN /LSTM models have the best robustness.

Determinants of Inflation in Vietnam: A VECM Approach

2015 ◽  
Vol 22 (04) ◽  
pp. 26-50
Author(s):  
Ngoc Tran Thi Bich ◽  
Huong Pham Hoang Cam
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Error Correction ◽  
Budget Deficit ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Domestic Credit ◽  
Short Run ◽  
The Impact

This paper aims to examine the main determinants of inflation in Vietnam during the period from 2002Q1 to 2013Q2. The cointegration theory and the Vector Error Correction Model (VECM) approach are used to examine the impact of domestic credit, interest rate, budget deficit, and crude oil prices on inflation in both long and short terms. The results show that while there are long-term relations among inflation and the others, such factors as oil prices, domestic credit, and interest rate, in the short run, have no impact on fluctuations of inflation. Particularly, the budget deficit itself actually has a short-run impact, but its level is fundamentally weak. The cause of the current inflation is mainly due to public's expectations of the inflation in the last period. Although the error correction, from the long-run relationship, has affected inflation in the short run, the coefficient is small and insignificant. In other words, it means that the speed of the adjustment is very low or near zero. This also implies that once the relationship among inflation, domestic credit, interest rate, budget deficit, and crude oil prices deviate from the long-term trend, it will take the economy a lot of time to return to the equilibrium state.

scholarly journals Shades between Black and Green Investment: Balance or Imbalance?

2021 ◽  
Vol 13 (9) ◽  
pp. 5024
Author(s):  
 Vítor Manuel de Sousa Gabriel ◽  
María Mar Miralles-Quirós ◽  
José Luis Miralles-Quirós
Keyword(s):  
Risk Factor ◽  
Oil Prices ◽  
Oil Price ◽  
Short Term ◽  
Environmental Indices ◽  
Long Run ◽  
Green Investment ◽  
Bounds Test

This paper analyses the links established between environmental indices and the oil price adopting a double perspective, long-term and short-term relationships. For that purpose, we employ the Bounds Test and bivariate conditional heteroscedasticity models. In the long run, the pattern of behaviour of environmental indices clearly differed from that of the oil prices, and it was not possible to identify cointegrating vectors. In the short-term, it was possible to conclude that, in contemporaneous terms, the variables studied tended to follow similar paths. When the lag of the oil price variable was considered, the impacts produced on the stock market sectors were partially of a negative nature, which allows us to suppose that this variable plays the role of a risk factor for environmental investment.

scholarly journals A Framework for Property Developers to Survive in a Recession

10.29007/cfr2 ◽  
2018 ◽  
Author(s):  
Zunoon Parambath ◽  
Nilupa Udawatta
Keyword(s):  
Survival Strategies ◽  
Economic Activities ◽  
Short Term ◽  
Property Development ◽  
Market Shares ◽  
Negative Impacts ◽  
Set Up ◽  
High Level ◽  
Property Developers

Recession is considered as a major threat to the economy as it slows down economic activities. The property development sector is extremely responsive to these economic conditions. Thus, it is crucial to understand causes, effects and strategies for property developers to survive in a recession without any ill effects. Thus, this research aimed to develop a framework for property developers to identify appropriate survival strategies in recession. A comprehensive literature review was conducted in this research to achieve the above mentioned aim. The results of this study indicated that recession prompts negative impacts on property development sector resulting in unemployment, lower demand, production and revenue, decline in resources and high level of competition. According to the results, the survival strategies were classified into short-term and long-term strategies. The short term strategies include: implementing management tactics, cut down of operating costs, keeping financing lines set up, timely repayment of debts, setting vital new objectives for the future, undertaking shorter time span developments, specialisation in favoured market, renegotiating deals and contracts. The long-term strategies include retrenchment, restructuring, investment and ambidextrous strategies. Similarly, attention should be paid to predict any changes in the economic environment that can influence property development activities and it is necessary to carefully evaluate investment activities to increase sales, profits and market shares of property developers. Preparing for a crisis is doubtlessly the ideal approach as it can facilitate both survival and growth. Thus, the property developers can implement these suggested strategies in their businesses to enhance their practices.

scholarly journals A Review of Crude Oil Prices Forecasting using Hybrid Method

2018 ◽  
Vol 11 (3) ◽  
pp. 1114
Author(s):  
Nurull Qurraisya Nadiyya Md-Khair ◽  
Ruhaidah Samsudin
Keyword(s):  
Crude Oil ◽  
Review Paper ◽  
Oil Prices ◽  
Economic Activities ◽  
Data Decomposition ◽  
Forecasting Models ◽  
Forecasting Methods ◽  
Crude Oil Prices ◽  
Forecasting Method ◽  
Hybrid Forecasting

Crude oil is considered as a crucial energy source in modern days. Consequently, the fluctuation of crude oil prices can cause a significant impact on economic activities. Researchers have proposed many hybrid forecasting models on top of single forecasting methods which are utilized to predict crude oil prices movement more accurately. Nevertheless, many limitations still existed in hybrid forecasting models and models that can predict crude oil prices as accurate as possible is required. The motivations of this review paper are to identify and assess the mostly used crude oil prices forecasting methods and to analyse their current limitations. 12 studies that used “decomposition-and-ensemble” framework was selected for review. Wavelet transform is identified as the mostly used data decomposition method while some limitations have been recognized. Future researches should include more studies to further elucidate the limitations in existing forecasting method so that subsequent forecasting methods can be improved.

scholarly journals Do Tense Geopolitical Factors Drive Crude Oil Prices?

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4277
Author(s):  
Fen Li ◽  
Zhehao Huang ◽  
Junhao Zhong ◽  
Khaldoon Albitar
Keyword(s):  
Crude Oil ◽  
Oil Prices ◽  
Causal Link ◽  
Short Term ◽  
Causality Test ◽  
Dynamic Correlation ◽  
Crude Oil Prices ◽  
Political Events ◽  
Real Factor ◽  
Copula Approach

Geopolitical factors are considered a crucial factor that makes a difference in crude oil prices. Over the last three decades, many political events occurred frequently, causing short-term fluctuations in crude oil prices. This paper aims to examine the dynamic correlation and causal link between geopolitical factors and crude oil prices based on data from June 1987 to February 2020. By using a time-varying copula approach, it is shown that the correlation between geopolitical factors and crude oil prices is strong during periods of political tensions. The GPA (geopolitical acts) index, as the real factor, drives the rise in prices of crude oil. Moreover, the dynamic correlation between geopolitical factors and crude oil prices shows strong volatility over time during periods of political tensions. We also found unidirectional causality running from geopolitical factors to crude oil prices by using the Granger causality test.

The Long-Term Dynamics in Crude Oil Prices

2012 ◽  
Vol 260-261 ◽  
pp. 846-851
Author(s):  
Bao Ming Qiao ◽  
Si Zhang ◽  
Hao Jin
Keyword(s):  
Crude Oil ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Oil Markets ◽  
Increasing Trend ◽  
Empirical Performance ◽  
High Volatility ◽  
Historical Data Analysis ◽  
Jump Diffusion Model

This paper reviews a long-term crude oil markets and trend of dynamic prices during 1986-2011. Based on the hypothesis that crude oil prices dynamics reflect the activity of a competitive market, a jump diffusion model is investigated to examine the empirical performance in a time series. Historical data analysis shows that crude oil prices were characterized by high volatility, high intensity jumps, and strong upward drift, and were concomitant with underlying fundamentals of crude oil markets and world economy. Furthermore, the model forecast that crude oil prices will still have an increasing trend, stay in jump for the next couple of years.

Sign in / Sign up

Export Citation Format

Share Document