Establishing finance-growth linkage for India: a financial conditions index (FCI) approach

2019 ◽  
Vol 14 (5) ◽  
pp. 1032-1059 ◽  
Author(s):  
A.K. Giri ◽  
Deven Bansod
Keyword(s):  
Economic Growth ◽  
Global Financial Crisis ◽  
Gdp Growth ◽  
Data Sets ◽  
Content Type ◽  
Real Gdp ◽  
Financial Conditions ◽  
Multiple Markets ◽  
Long Run ◽  
The Global Financial Crisis

Purpose The global financial crisis of 2008 emphasized the need for monetary policy authorities to have a more comprehensive view of the conditions prevailing in the economy before deciding their policy stance. The purpose of this paper is to outline the construction of a financial conditions index (FCI) and investigate the possible co-integrating relationship between the economic growth and FCI. Design/methodology/approach The study employs the PCA methodology, with appropriate augmentations to handle the unbalanced panel data-sets and constructs a FCI for India. It tests the growth-predicting power of FCI by applying the auto regressive distributed lags approach to co-integration and verifies if the FCI is co-integrated with real GDP growth. It also discusses construction of a financial development index (FDI) which tracks the financial markets through M3, market capitalization and credit amount to residents. Findings The constructed FCI has a quarterly frequency and is available starting 1998q2. The long-run coefficient of FCI while predicting the real GDP growth is significant at 10 percent. The results confirm that a more-broader index FCI outperforms a narrower index FDI in growth prediction. Research limitations/implications By showing that FCI is a better growth predictor than FDI, the study establishes the importance of including the foreign exchange markets, bond markets and stock markets while summarizing the conditions in the economy. The authors hope that the FCI would be helpful to the monetary authorities in their policy decisions. Originality/value The paper adds to the few existing studies studies dealing with FCI for Indian economy and constructs a more comprehensive index which tracks multiple markets simultaneously. It also fills the gap in literature by evaluating the correlating relationship between FCI and economic growth.

Development Growth Models for Singapore and Malaysia: A Geweke Causality Analysis

2015 ◽  
Vol 8 (2) ◽  
pp. 165-186 ◽  
Author(s):  
Tan Khee Giap ◽  
Nguyen Le Phuong Anh ◽  
Ye Ye Denise
Keyword(s):  
Economic Growth ◽  
Linear Dependence ◽  
Growth Models ◽  
Growth Dynamics ◽  
Gdp Growth ◽  
Multiple Time ◽  
Causality Analysis ◽  
Content Type ◽  
Real Gdp ◽  
Long Run

Purpose Nearly five decades after undergoing a structural transformation and navigating several external shocks, both Singapore and Malaysia are now grappling with some crucial policy challenges that necessitate a course-correction in order to sustain their growth momentum, going forward. In light of the renewed interest in understanding the growth constraints faced by the two countries, this paper aims to empirically explore the drivers of economic growth in both Singapore and Malaysia, using data from 1975 to 2012. Design/methodology/approach The paper employs a novel empirical approach-the Geweke causality analysis-to investigate the causal drivers of economic growth in Singapore and Malaysia. Intuitively, the Geweke causality analysis helps us understand and measure the linear dependence and feedback between multiple time series variables. To that effect, we perform both a bi-variate as well as a multi-variate causality analysis. Findings The empirical results established using Geweke causality analysis suggest that Malaysia's new development trajectory should lie in rebalancing the economy toward greater domestic demand and building a robust services sector. The results also suggest that Singapore, on the other hand, should embrace a growth model that goes beyond relying heavily on foreign direct investment (FDI) as a source of economic growth as the linear dependence between FDI and real GDP growth appears to be weaker compared to the linear dependence between the remaining variables and the real GDP growth. Originality/value While the traditional growth accounting framework provides useful insights at the aggregate level, there is a growing literature that discusses the importance of sectoral analysis to understand structural transformations in the economies which become important to sustain productivity growth in the long-run. This is immensely relevant in the case of Malaysia and Singapore, as well, especially with the changing policy focus in these countries to overcome structural growth issues. In light of this growing discussion on the importance of understanding the growth dynamics at the sectoral level, this paper presents new empirical evidence on the growth drivers in Singapore and Malaysia with a sectoral focus.

scholarly journals Taxation, government spending and economic growth: The case of Bulgaria

2021 ◽  
Vol 7 (3) ◽  
pp. 255-266
Author(s):  
G. Ganchev ◽  
◽  
I. Todorov ◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Tax Revenue ◽  
Gdp Growth ◽  
Real Gdp ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Short Run ◽  
The Impact

The objective of this article is to estimate the impact of three fiscal instruments (direct taxes, indirect taxes, and government expenditure) on Bulgaria’s economic growth. The study employs an autoregressive distributed lag model (ARDL) and Eurostat quarterly seasonally adjusted data for the period 1999–2020. Four control variables (the shares of gross capital formation, household consumption, and exports in GDP as well as the economic growth in the euro area) are included in the model to account for the influence of non-fiscal factors on Bulgaria’s real GDP growth rate. The empirical results indicate a long-run equilibrium relationship between Bulgaria’s economic growth and the independent variables in the ARDL. In the short term, Bulgaria’s real GDP growth rate is affected by its own past values and the previous values of the shares of direct tax revenue, exports, government consumption, and indirect tax revenue in GDP. In the long term, Bulgaria’s economic growth is influenced by its own previous values and the past values of the share of household consumption in GDP and the euro area’s real GDP growth rate. Fiscal instruments can be used to stabilize Bulgaria’s growth in the short run but they are neutral in the long run. The direct tax revenue, government consumption, and indirect tax revenue are highly effective and can be used as tools for invigorating and stabilizing Bulgaria’s economic growth in the short run. However, in the long term, the real GDP growth rate can be hastened only by encouraging domestic demand (final consumption expenditure of households) and promoting exports. This research cannot answer the question of whether flat income taxation stabilizes the economy or not, since it does not separate the impact of tax rate changes from the influence of tax base modifications.

Determinants of the global financial crisis recovery: an empirical assessment

2017 ◽  
Vol 44 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Minh Quang Dao
Keyword(s):  
Financial Crisis ◽  
Financial Liberalization ◽  
Global Financial Crisis ◽  
Emerging Market ◽  
Gdp Growth ◽  
Content Type ◽  
Financial Depth ◽  
Crisis Recovery ◽  
Cross Country ◽  
The Global Financial Crisis

Purpose The purpose of this paper is to empirically assess the effect of the factors contributing to the recovery from this crisis in terms of national GDP growth among the G7, Asian7, and Latin American7 countries. Design/methodology/approach The author uses a multivariate regression analysis of the determinants of the global financial crisis recovery. Findings Based on data from 21 developed and developing emerging market economies the author found that good macroeconomic fundamentals together with more open financial policy, financial liberalization, financial depth, domestic performance, and favored global conditions do linearly influence national GDP growth. Over 85 percent of cross-country variations in GDP growth during the recovery phase of the global financial crisis can be explained by its linear dependency on pre-crisis national GDP growth, financial liberalization, financial depth, domestic performance, as well as interaction terms between various explanatory variables. Cross-country differences in national GDP growth also linearly depend on macroprudence and on favorable global conditions. Originality/value Results of such empirical examination may enable governments in developing countries devise resilience strategies that may serve as powerful tools for dealing with future global financial crises.

scholarly journals Do foreign aid triggers economic growth in Chad? A time series analysis

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Dervis Kirikkaleli ◽  
Ibrahim Adeshola ◽  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Global Financial Crisis ◽  
Capital Formation ◽  
Wavelet Coherence ◽  
High Tech ◽  
Gdp Growth ◽  
Annual Data ◽  
Domestic Investment ◽  
Long Run

AbstractThis study explores the nexus between foreign aid and Chad's economic growth. Empirical evidence is based on annual data from 1982 to 2018. The study used ARDL, FMOLS, and DOLS techniques to establish interconnection among the economic indicators. Subsequently, the study utilized the wavelet coherence technique to capture causality and correlation between economic growth and the independent variables. One of the wavelet approach's uniqueness is that it shows the pattern and behavior of the variables used, including the different time horizons. Thus, we explore the dynamic influence of gross capital formation, foreign aid, import, and export on Chad's economic growth. The result of the ARDL long-run estimates reveals that gross capital formation and foreign aid exert insignificant impact on GDP growth. However, exports and imports exert a positive and significant impact on GDP growth. Furthermore, the global financial crisis has a negative and significant impact on the economy of Chad. The outcomes of the wavelet coherence test provide supportive evidence for the ARDL long-run outcomes. Hence, we suggested that substantial macroeconomic reforms and economic liberalization initiatives will help in the dissemination of information and promote domestic investment and importation of high-tech goods.

Volatility of Malaysian conventional and Islamic indices: does financial crisis matter?

2020 ◽  
Vol 11 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Muhamad Abduh
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Composite Index ◽  
Least Square ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Global Financial Crisis ◽  
The Impact

Purpose This study aims to investigate the volatility of conventional and Islamic indices and to explore the impact of the global financial crisis toward the volatility of both markets in Malaysia. Design/methodology/approach The data consist of financial times stock exchange group (FTSE) Bursa Malaysia Kuala Lumpur Composite Index and FTSE Bursa Malaysia Hijrah-Shari‘ah Index covering the period January 2008-October 2014. Generalized autoregressive conditional heteroskedasticity is used to find the volatility of the two markets and an ordinary least square model is then used to investigate the impact of the crisis toward the volatility of those markets. Findings Interestingly, the result shows that Islamic index is less volatile during the crisis compared to the conventional index. Furthermore, the crisis is proven to significantly affect the volatility of conventional index in the short run and Islamic index in the long run. Originality/value This study explores the volatility–financial crisis nexus, especially for the Islamic financial markets, which to the best of the author’s knowledge, is still lacking empirical research which may improve the understanding upon this issue.

Identification of systemically important banks in India using SRISK

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juhi Gupta ◽  
Smita Kashiramka
Keyword(s):  
Systemic Risk ◽  
Banking Sector ◽  
Global Financial Crisis ◽  
Balance Sheet ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Marginal Expected Shortfall ◽  
The Global Financial Crisis ◽  
Systemically Important Banks

Purpose Systemic risk has been a cause of concern for the bank regulatory authorities worldwide since the global financial crisis. This study aims to identify systemically important banks (SIBs) in India by using SRISK to measure the expected capital shortfall of banks in a systemic event. The sample size comprises a balanced data set of 31 listed Indian commercial banks from 2006 to 2019. Design/methodology/approach In this study, the authors have used SRISK to identify banks that have a maximum contribution to the systemic risk of the Indian banking sector. Leverage, size and long-run marginal expected shortfall (LRMES) are used to compute SRISK. Forward-looking LRMES is computed using the GJR-GARCH-dynamic conditional correlation methodology for early prediction of a bank’s contribution to systemic risk. Findings This study finds that public sector banks are more vulnerable to macroeconomic shocks owing to their capital inadequacy vis-à-vis the private sector banks. This study also emphasizes that size should not be used as a standalone factor to assess the systemic importance of a bank. Originality/value Systemic risk has attracted a lot of research interest; however, it is largely limited to the developed nations. This paper fills an important research gap in banking literature about the identification of SIBs in an emerging economy, India. As SRISK uses both balance sheet and market-based information, it can be used to complement the existing methodology used by the Reserve Bank of India to identify SIBs.

Pragmatic protectionism may persist in many economies

2016 ◽  
Keyword(s):  
Global Financial Crisis ◽  
Gdp Growth ◽  
Content Type ◽  
Investment Protection ◽  
Legislative Action ◽  
The Us ◽  
Growth Prospects ◽  
Us Presidential Election ◽  
The Global Financial Crisis ◽  
First Time

Subject Fears of a period of imminent 'deglobalisation' involving more protectionism and less integration. Significance The WTO forecast for world trade growth has fallen below GDP growth for the first time since the global financial crisis. Historical evidence suggests a clear link between trade liberalisation and higher GDP growth, raising fears that increased protectionism, sharpened by Brexit and the US presidential election campaign, will dampen global growth. Impacts The EU is likely to scale back the provisions of both CETA and TTIP, particularly on investment protection. Beyond the attention on Trump, the US landscape appears to have shifted more broadly towards deglobalisation. An increase in protectionist policies is likely to lead to more court challenges or legislative action to reverse them. Retaliation between countries may increase, particularly in countries that are likely to be most affected such as China and Mexico. Historically, protectionism has had a bigger impact than competitive devaluations; the trend poses a risk to world growth prospects.

scholarly journals Insurance demand in emerging Asian and OECD countries: a comparative perspective

2020 ◽  
Vol 47 (3) ◽  
pp. 350-364
Author(s):  
Waheed Akhter ◽  
Vasileios Pappas ◽  
Saad Ullah Khan
Keyword(s):  
Financial Crisis ◽  
Peer Review ◽  
Low Income ◽  
Global Financial Crisis ◽  
Oecd Countries ◽  
Data Sets ◽  
Insurance Demand ◽  
Content Type ◽  
General Insurance ◽  
The Global Financial Crisis

PurposeIn this paper, we aim to assess insurance demand across selected Asian and OECD countries during the period of the global financial crisis.Design/methodology/approachWe collected data from 55 emerging Asian and OECD countries during the period of the global financial crisis. Our methodology relies on panel regressions. Separate models are run for the Asia/OECD economies and a follow-up distinction between high/low-income regions is also made.FindingsWe find that global financial crisis affects negatively the general insurance demand particularly in high-income region. Higher dependency ratio in Asia tends to decrease insurance demand, whereas education in case of Asia positively influences insurance demand indicating that higher literacy rate can be helpful to capture the potential customers. Our results further reveal that life insurance is an important driver for insurance demand in OECD countries, whereas general insurance demand is higher in the Asian economies.Research limitations/implicationsA limitation of this study is that data sets employed do not differentiate between different life and general insurance products.Practical implicationsThis study is helpful for regulators, policymakers and insurance providers to evaluate, assess and monitor insurance demand in relevant countries.Originality/valueThis is one of the pioneering studies that have assessed insurance demand among emerging Asian and OECD countries during the period of the global financial crisis.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2019-0523

scholarly journals The mechanisms linking the finance-growth relationship in view of the financial crisis: an empirical investigation of the EU countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dimitrios Asteriou ◽  
Konstantinos Spanos
Keyword(s):  
Economic Growth ◽  
Financial Crisis ◽  
Stock Market ◽  
Financial Development ◽  
Banking Sector ◽  
Global Financial Crisis ◽  
Equity Market ◽  
Private Debt ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe paper aims to explore the mechanisms linking the impact of financial development on economic growth and focuses on the long-term post-global financial crisis.Design/methodology/approachThe study employs panel data for twenty-five European Union countries over the period 1995–2017. Principal Component Analysis is employed to produce two aggregate indices, namely financial banking sector development and stock market sector development. The empirical analysis is based on estimates through the autoregressive distributed lag (ARDL) method.FindingsThe results suggest that the outbreak of the crisis has led to a disruption of the positive finance-growth relationship, and the banking sector dominates in this adverse effect. The foreknowledge of the current study is that the linking mechanisms of the negative impact of financial development on economic growth, ten years after the global financial crisis, are household debt, private debt, and non-performing loans for the banking sector, while for the equity market this is the case through savings. Interestingly, the results reveal that unemployment increase excessively the borrowers' debt level and then the non-performing loans.Research limitations/implicationsAn implication is that the increase of credit supply and any monetary expansion along with lack of regulatory control and monitoring can lead banks to a higher risk exposure through household and private debt as well as non-performing loans. Besides, the higher levels of unemployment rates call attention for the trade-off between prudential regulation on the supply of loans and economic activity, since higher unemployment affect the non-performing loans and, as a consequence discourage the demand, increase precautionary savings, and cancel or postpone investment decisions, thus, affecting the equity market.Originality/valueThe paper provides useful insights to economists and policymakers who are interested in understanding the weakness of banking and stock market sectors to promote economic growth for a long time after the global financial crisis.

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