scholarly journals COMPARING MULTIVARIATE MODELS’ FORECASTS OF INFLATION FOR BRICS AND OPEC COUNTRIES

2019 ◽  
Vol 17 (2) ◽  
pp. 152-172 ◽  
Author(s):  
Olaoluwa Vincent Ajayi
Keyword(s):  
Global Economy ◽  
Opec Country ◽  
Var Model ◽  
Multivariate Models ◽  
Forecast Performance ◽  
Brics Countries ◽  
Inflation Forecasting ◽  
Long Run ◽  
Forecasting Performance ◽  
Study Test

Purpose – This study identifies the most appropriately selected multivariate model for forecasting inflation in different economic environments. In specifying the multivariate models, the study test for the orders of integration of variables and for those that are nonstationary. For non-stationary variables, this study examines whether they are cointegrated. Engle and Granger (1987) establish that a cointegrating equation can be represented as an error correction model that incorporates both changes and levels of variables such that all of the elements are stationary. However, VARs estimated with cointegrated data will be misspecified if all of the data are differenced because long-run information will be omitted, and will have omitted stationarity inducing constraints if all the data are used in levels. Further, including variables in both levels and differences should sat-isfy stationarity requirements. However, they will omit cointegrating restrictions that may improve the model. Of course, these constraints will be satisfied asymptotically; but efficiency gains and improved multi-step forecasts may be achieved by imposing the constraints (Engle and Granger 1987, p. 259). Therefore, this study test for order of integration and compare inflation forecasting performance of different multivariate models for BRICS and OPEC countries. Research methodology – The following approaches were considered; the first approach is to construct a VAR model in differences (stationary form) to forecast inflation. The second approach is to construct a VECM without imposing cointegrating restrictions. The third approach is to construct a VEC that imposes cointegrating restrictions on the VECM. This will help to understand whether imposing cointegrating restrictions via a VEC improves long-run forecasts. Research limitation – The proposed multivariate models focused on differencing and cointegrating restrictions to ensure the stationarity of the data, the available variables were combined and specified based on their level of integration to forecast inflation. For instance, a VAR model is estimated based on differenced variables I(0); the same holds true for VECM and VEC models, where differenced variables and linear combinations of I(I) covariates are stationary. In future, multivariate models guided by economic theory rather than the order of integration of variables are suggested. Findings – The result shows that the forecast performance of inflation depends on the nature of the economy and whether the country experiencing higher inflation or low inflation. For instance, the model that includes long-run information in the form of a specified cointegrated equation generally improves the inflation forecasting performance for BRICS countries and one OPEC country (Saudi Arabia) that has a history of low inflation. Practical implications – This research will improve the policy makers decision on how to select appropriate model to forecast inflation over different economic environment. Originality/Value – These methods have not been used to forecast inflation for many emerging economies such as OPEC and BRICS countries despite the importance of many of these countries to the global economy. This study fills this gap by evaluating the forecasting performance of inflation using multivariate VAR and cointegrating models for OPEC and BRICS economies.

scholarly journals A COMPARATIVE ANALYSIS OF ALTERNATIVE UNIVARIATE TIME SERIES MODELS IN FORECASTING TURKISH INFLATION

2012 ◽  
Vol 13 (2) ◽  
pp. 275-293 ◽  
Author(s):  
A. Nazif Çatık ◽  
Mehmet Karaçuka
Keyword(s):  
Time Series ◽  
Time Series Models ◽  
Unobserved Components ◽  
Inflation Forecasting ◽  
Long Run ◽  
Univariate Time Series ◽  
Forecasting Performance ◽  
Unobserved Components Model ◽  
One Step ◽  
Conventional Models

This paper analyses inflation forecasting power of artificial neural networks with alternative univariate time series models for Turkey. The forecasting accuracy of the models is compared in terms of both static and dynamic forecasts for the period between 1982:1 and 2009:12. We find that at earlier forecast horizons conventional models, especially ARFIMA and ARIMA, provide better one-step ahead forecasting performance. However, unobserved components model turns out to be the best performer in terms of dynamic forecasts. The superiority of the unobserved components model suggests that inflation in Turkey has time varying pattern and conventional models are not able to track underlying trend of inflation in the long run.

Alternative bvar models for forecasting inflation

2011 ◽  
Vol 61 (1) ◽  
pp. 61-75
Author(s):  
H. Heidari
Keyword(s):  
Simulated Data ◽  
Inflation Forecasting ◽  
Long Run ◽  
Forecasting Performance ◽  
Australian Economy ◽  
Parsimonious Models ◽  
Second Year ◽  
Forecasting Inflation ◽  
G Prior ◽  
Better Than

This paper investigates the use of different priors to improve the inflation forecasting performance of BVAR models with Litterman’s prior. A Quasi-Bayesian method, with several different priors, is applied to a VAR model of simulated data as well as to the Australian economy from 1978:Q2 to 2006:Q4. A novel feature with this paper is the use of g-prior in the BVAR models to alleviate poor estimation of drift parameters of Traditional BVAR models. Some results are as follows: (1) In the Quasi-Bayesian framework, BVAR models with Normal-Wishart prior provide the most accurate forecasts of Australian inflation; (2) Generally in the parsimonious models, the BVAR with g-prior performs better than BVAR with Litterman’s prior; (3) In simulated data, the BVAR model with g-prior produces more accurate forecasts of driftless variable in the long-run horizons (first and second year forecast horizons).

The Role of Technological Change in the Long-run Global Economy Forecasting

2013 ◽  
pp. 97-116 ◽  
Author(s):  
A. Apokin
Keyword(s):  
Technological Change ◽  
Data Quality ◽  
Long Range ◽  
Global Economy ◽  
World Economy ◽  
Qualitative Approaches ◽  
Long Run ◽  
The World ◽  
National Economies

The author compares several quantitative and qualitative approaches to forecasting to find appropriate methods to incorporate technological change in long-range forecasts of the world economy. A?number of long-run forecasts (with horizons over 10 years) for the world economy and national economies is reviewed to outline advantages and drawbacks for different ways to account for technological change. Various approaches based on their sensitivity to data quality and robustness to model misspecifications are compared and recommendations are offered on the choice of appropriate technique in long-run forecasts of the world economy in the presence of technological change.

scholarly journals The Integration of Conventional Equity Indices with Environmental, Social, and Governance Indices: Evidence from Emerging Economies

2021 ◽  
Vol 13 (2) ◽  
pp. 676
Author(s):  
Ramiz ur Rehman ◽  
Muhammad Zain ul Abidin ◽  
Rizwan Ali ◽  
Safwan Mohd Nor ◽  
Muhammad Akram Naseem ◽  
...  
Keyword(s):  
South Africa ◽  
Function Analysis ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Individual Country ◽  
Brics Countries ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
Equity Indices

This study investigates the integration of environmental, social, and governance (ESG) equity indices with conventional indices in Brazil, Russia, India, China, and South Africa (BRICS) individually and across all BRICS countries to better understand regional economic cooperation. Accordingly, we look at daily returns from 13 July 2013 to 28 February 2018 for the Morgan Stanley Capital International (MSCI) ESG indices and MSCI composite indices of the respective countries. To analyze the integration between the ESG equity indices of the sampled countries with their regional and across regional conventional counterparts, the Johansen Co-integration test is employed in this study. Further, the vector error correction model (VECM) is applied to test the causality between the sampled time-series. The impulse response function analysis further explains the impulse responses of each country’s MSCI ESG returns to one standard deviation of innovations to MSCI composite returns of the same country and across countries. Finally, the extent of the MSCI composite returns’ impact on the MSCI ESG returns in the same country indices, and cross-regional indices is examined with variance decomposition analysis. The results suggest that all ESG equity indices are integrated with conventional indices in all BRICS countries. Furthermore, there is a short-or long-run causality between MSCI ESG and MSCI composite equity indices of China and South Africa. Moreover, the study finds only short-run causality between conventional and non-conventional equity indices of Brazil and Russia, whereas we find only long-run causality between India’s non-conventional and conventional equity indices. Finally, the study finds that the all-individual country MSCI ESG equity indices shows a long-run causality with MSCI composite equity indices of all other BRICS countries. The findings also confirm the economic and financial cooperation between the BRICS countries.

Exchange rates in India: current account monetarism in a nonlinear context

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Aditi Chaubal
Keyword(s):  
Exchange Rate ◽  
Current Account ◽  
Polynomial Function ◽  
Mean Reversion ◽  
Smooth Transition ◽  
Monetary Model ◽  
Forecast Performance ◽  
Long Run ◽  
Nonlinear Mean Reversion ◽  
Long Run Equilibrium

AbstractThe Indian exchange rate system has evolved from a pegged system to the current managed float. The study examines the presence of a long-run equilibrium in the monthly Indian exchange rate (Rs/USD) using a current account monetary model (or flexible price monetary model) while accounting for different nonlinearities over the period January 1993 to January 2014 (pre-inflation targeting period). The nonlinear adjustment to disequilibria is modelled using a nonlinear error correction model (NLECM). The nonlinear current account monetarism (CAM) model includes nonlinear transformations of long-run dynamics in the ECM to account for different nonlinearities: multiple equilibria (cubic polynomial function), nonlinear mean reversion (rational polynomial function), and smooth and gradual regime switches (exponential smooth transition autoregressive (ESTAR) function). The NLECM-ESTAR model outperforms other alternatives based on model and forecast performance measures, implying the existence of nonlinear mean reversion and smooth transition across different periods of overvaluation and undervaluation of the exchange rate. This implies the presence of asymmetric adjustment to the movements from the long-run equilibrium, but the nature of such transitions is smooth and not abrupt. The paper also establishes the uniqueness of the long-run equilibrium. A comparison to the sticky price monetary model could not be made due to stationary exchange rate disequilibrium.

scholarly journals Tourism Industry and Economic Growth Nexus in Beijing, China

Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 25 ◽  
Author(s):  
Yang Songling ◽  
Muhammad Ishtiaq ◽  
Bui Thi Thanh
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Strong Support ◽  
Growth Index ◽  
Strong Relationship ◽  
Tourism Industry ◽  
Var Model ◽  
Long Run ◽  
The Relationship ◽  
Beijing China

In the developing economy, tourism is the most visible and steadiest growing facade. Tourism is considered one of the rapidly increasing elements for economic development from the last two decades. Therefore, the proposed study used vector autoregression (VAR) model, error correction model (ECM), and the Granger causality to check the relationship between the tourism industry and economic growth based on the data of the Beijing municipal bureau of statistics from 1994 to 2015. Gross domestic product (GDP) is used as a replacement variable for the economic growth index, while internal tourism revenue is used as a tourism industry indicator. The study supports the tourism-led growth hypothesis proposed in the existing literature in a different survey of tourism and economic development. The results show that there is a strong relationship in the tourism industry and economic growth in the context of Beijing, and at the same time, tourism creates a more significant increase in long run local real economic accomplishments. The results of the VAR model confirm that in the long run, Beijing’s economic growth is affected by domestic tourism, while the ECM model shows unidirectional results in the short term. Similarly, there is a one-way causal relationship between the tourism industry and economic growth in Beijing, China. The empirical results are in strong support of the concept that tourism causes growth.

Prospects for BRICS industrial cooperation under recent developments in GVCS

2021 ◽  
Author(s):  
Olga Vladimirovna Ponomareva
Keyword(s):  
Global Economy ◽  
Technological Development ◽  
Business Strategies ◽  
Global Trends ◽  
Industrial Cooperation ◽  
Regulatory Policies ◽  
Brics Countries ◽  
Recent Developments ◽  
Economic Partnership ◽  
Domestic Regulation

The development of industrial cooperation creates fundamental and long-term foundations for BRICS current and future economic partnership. It was reflected in recently adopted Strategy for BRICS Economic Partnership 2025. At the same time, realization of the existing potential of industrial cooperation cannot take place without taking into account the development of new global trends. These trends and respective factors influence companies` business strategies and government regulatory policies significantly. As a result, both traditional factors and novel challenges, such as comprehensive digitalization processes in global economy and trade, technical and technological development of different industries and global value chains, the pressure of trade conflicts resulted in accumulation of protectionism in trade policies and the ongoing crisis associated with the COVID-19 pandemic should be considered thoroughly. In the case of the BRICS countries the existing incentives for the reconfiguration of GVCs and the enhancement of their resilience and reliability can be implemented in the strengthening of trade and industrial ties and the diversification of suppliers and markets through the development of cooperation with the partner countries. To realize these opportunities, it is necessary to ensure favorable regulatory basis both in traditional areas (trade and investment liberalization, convergence in domestic regulation) and in the framework of modern trends that are gaining momentum: increasing cooperation in e-commerce, trade facilitation, developing scientific, technological and innovative cooperation, addressing infrastructural issues in order to reduce transport and logistics costs and expand trade and industrial cooperation..

Brazil and Russia: Different Trajectories of Development?

2012 ◽  
pp. 92-104
Author(s):  
G. Irishin
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Social Development ◽  
Brics Countries ◽  
Long Run ◽  
Main Emphasis ◽  
The World

This publication represents the materials of the regular academic seminar “The current problems of development” conducted by the Center of the problems of development and modernization within IMEMO. The attention of the key speakers and other seminar participants is focused on the comparison of the two BRICS countries – Brazil and Russia. The main emphasis is made on the analysis of the trends of social development. The point is that the quality of human capital determines the quality of economic growth, as well as the country's place in the world in the long run.

scholarly journals Digital shifts in human resource management in the global economy

2021 ◽  
Vol 2 (3) ◽  
pp. 70-82
Author(s):  
Amirreza Nikpour ◽  
Svetlana Semushkina
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Global Economy ◽  
Digital Technologies ◽  
Human Resource Management System ◽  
Brics Countries ◽  
Hr Management ◽  
Key Issues ◽  
Theoretical Foundations

This article examines the key issues related to digital shifts in human resource management in the global economy. The purpose of the article is to identify the features and key trends in the introduction of digital technologies on the example of the BRICS countries. The study yielded a number of results. In the course of the research, the theoretical foundations of the digitalization of HR management are analyzed. The current situation and the contemporary level of human development in the BRICS countries is also noted. The features and problematic aspects of digital transformations in the human resource management system are outlined on the example of Russia, China and Brazil. In addition, the main digital technologies that are widely used in the countries under consideration are described.

scholarly journals Relations and Emotions beyond the Boundaries in the Post Crisis Era – An Analysis of the Impact of Selected Variables on the Indian Stock Market

2018 ◽  
Vol 4 (8) ◽  
pp. 72
Author(s):  
Pooja Yadav ◽  
Nitin Huria
Keyword(s):  
Stock Market ◽  
Global Economy ◽  
Stock Index ◽  
Asia Pacific ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Current Scenario ◽  
Indian Stock Market ◽  
The Impact

From a decade or so Indian continent has become the centre of attraction in the global economies. This changed outlook is due to the fact that India embraces vast availability of resources and opportunities which makes it the most vibrant global economy in the current scenario of worldwide sluggishness. On this path of growth and prosperity India is showing stiff commitments and competitive edges with developed as well as emerging countries. To be more specific, during this voyage in the Asia pacific region recently on one side India has seen stronger bonding with some of its old mates like Japan but on the other part it has faced strain like situation from its stronger competitor contender china on the same time. Hence, in this context the main aim of this paper is to examine the long run and short run equilibrium impacts of Japan and Chinese stock index as well as macroeconomic variables impact on Indian stock market. This paper finds the presence of both long and short run equilibrium impacts from China and Japan to India. In case of Japanese financial market (Nikki 225) has a trivial negative but significant long run impact whereas, the Chinese stock index (SSE composite) is operating at the short run with the same mild negative but significant impact on the Indian stock market. The results of the impact of macroeconomic variables find the existence of long run as well as short run equilibrium from some of the selected variables on Indian stock market.

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