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This study explores the financial liberalization and economic growth debate from a Zimbabwean context. It employs two measures of financial liberalisation, foreign assets and liabilities, and a dummy variable based on liberalisation or repression policies implemented from 1980 to 2023 alongside other macroeconomic variables. The study uses two OLS models alongside the Toda-Yamamoto approach to assess Granger causality between the variables. The findings show that financial liberalisation, as measured by the flow of foreign assets and liabilities, negatively impacts economic growth and that there is Granger causality from the flow of foreign assets and liabilities to GDP. The financial liberalisation dummy had a positive and statistically significant impact on economic growth, while the Toda-Yamamoto tests showed no relationship. The study highlights the need to carefully consider liberalisation policies’ nature, timing, and causality effects when formulating and implementing financial liberalisation policy.

This article aims to discuss to what extent populist parties with opposite ideological backgrounds have differed in their policies towards inherited external financial liberalization (EFL). Building upon a comparative case study centred on Argentina under Kirchnerism (2003–15) and Hungary under Viktor Orbán (since 2010), I conclude that both experiences led to a partial EFL reversal. However, reflecting their opposite ideological underpinnings, each subtype of populism opted to restrict a different dimension of EFL. Argentina's left-wing populism re-regulated cross-border capital flows, harming financial operators, foreign investors and primary exporters through capital controls and export surrenders. These interventionist capital account regulations were needed to shield expansionary macroeconomic policies that attended the interests of subordinate socioeconomic strata, fuelling the tension with financial markets and domestic economic elites. Conversely, Hungary's right-wing populism focused on the ownership structure of the banking sector, aiming to redistribute assets from foreign to domestic private banks and improve the credit conditions for native capitalists. In this case, even when resorting to macroeconomic heterodoxy, the maintenance of fiscal balance and price stability retained support from both foreign investors and domestic business groups, mitigating tensions derived from financial nationalism.

This study aimed to analyse financial liberalisation, political stability, and economic determinants of Kenya’s real economic growth using time series data over the period of 1970–2016. The authors specified quadratic and interactive models to be estimated by employing a quantile regression analysis. The traditional and quantile unit root test was used in testing the stationarity issue. The co-integration findings indicated that the capital account openness and financial development impede on real economic growth; and the political stability also had potential influence on the real economic growth of Kenya. Interestingly, there is a nonlinear U-shape link between financial development and real economic growth that undermined the real economic growth at its onset, but as it advanced, it enhanced the growth of the country in the long run. The policymakers should ensure that the capital account is more liberalised so that it will continue to stimulate the financial development. In the same way, the liberalisation of the domestic financial market should be taken in earnest to overcome the negative effects of financial repression in totality, while maintaining the stable political atmosphere.

The objective of this study is to measure the impact of financial liberalization on the effectiveness of monetary policy in Algeria during the period 1970-2021 using the Autoregressive Distributed Gaps (ARDL) model and analyzing the implications of the financial liberalization policy on the monetary delivery channels as well. In the context of the liberalization of the financial sector, both channels of the exchange rate and financial assets play an effective role in transferring the impact of monetary policy to the real sector compared to the channels of interest rate and bank lending, with central banks relying on the use of indirect tools that depend on market forces to manage their monetary policy. The results of the study also concluded that the policy of financial liberalization represented in loans granted to the private sector as a percentage of GDP positively affects the effectiveness of monetary policy and enhances its ability as a tool to direct the economy towards achieving the goal of economic growth.

PurposeThis study aims to examine the effect of domestic financial deregulation on economic growth in five selected sub-Saharan African nation (SSA). The paper also explored the interaction effect of domestic financial deregulation and corruption on growth.Design/methodology/approachThe paper used Driscoll and Kraay standard errors based on the pooled ordinary least squares, which is robust to heteroskedasticity, cross-sectional dependence and autocorrelation.FindingsThe outcome indicates that domestic financial liberalization has accelerated growth in SSA economies. Similarly, evidence reveals that foreign direct investment and credit to the private sector by banks accelerate growth. However, evidence indicates that labour and capital negate growth. Also, the interaction term for domestic financial liberalization and corruption shows a negative influence on growth. The study, therefore, recommends that well-tailored policy design and strategy be implemented to provide a smooth and conducive business environment for investors.Originality/valueNumerous studies have analysed the influence of financial deregulation on growth; however, none have examined the effects of domestic financial deregulation on growth in the context of SSA. Also, no studies have explored the interaction effect of domestic financial deregulation and corruption on growth.

This paper aims to construct a bi-directional, financial liberalization index for Pakistan by considering various financial policy indicators (reforms). This study, by employing the principal component analysis method over a period of 1980-2018 (39 years), aims to determine the composite outcome in the case of developing a financial index. This study uses 14 financial policy indicators to investigate the degree of financial liberalization over a specified time period. The present study suggests a financial liberalization index for Pakistan considering the real-time change in the implementation process. The formulated index revealed that the recorded profitability of financial reforms was consistently high until 1998. Meanwhile, in the period from 1997 to 2003, the outcomes of financial reforms were surprisingly strong. Beyond 2004 and for the rest of the remaining years until 2018, the liberalization process recorded was comparatively slow. Thus, it was witnessed that all the key indicators, in the sense of regulation and liberalization, included determining the degree of financial liberalization. The consistency track of a liberalization index is a major focus of attention for policy makers, in order to capture the efficiency outcomes from various financial policy indicators, which were implemented beyond 2004. Furthermore, corporate risk in terms of better access to finance is also raised as a consequence of financial liberalization. Financial liberalization also resulted in a decrease in the cost of capital and improved the corporate governance.

By mobilizing savings, financial markets play a crucial role in economic development. Given that the literature does not fully explore the nexus between financial activities and tax revenue, this study attempts to analyze the role of financial markets in generating tax revenue in Pakistan, using time series data for the period 1975–2014. It finds that, in the long run, the number of bank branches and market capitalization have a positive and significant impact on tax revenue. While credit to the private sector has a bidirectional relationship with tax revenue, public sector credit has an insignificant impact. In the short run, only the number of bank branches and market capitalization have a significant impact on tax revenue. Keywords: Financial sector, financial liberalization, tax revenue, Pakistan.

Purpose: This study investigates the impact of financial liberalization on firm risk and examines the relationship between liberalization and firm risk from a global perspective by using three different measures of financial liberalization to analyze the entire sample as well as four different subsamples by using firms from different countries as our samples. Design/methodology/approach: We use the pooled ordinary least squared (OLS) regression model and a series of robustness checks to conduct our analysis by using our sample that includes 63 countries, 18,317 firms, and 161,317 firm-year observations from 1991–2017. Findings: Our empirical analysis concludes that financial liberalization has a significantly negative effect on firm risk. Following a series of robustness checks, we find that the results remain unchanged after categorizing our sample into subsamples according to the level of financial liberalization, controlling for changes in the economic development status, and dividing the sample periods based on the time of the financial crises. Moreover, the quantile regression reveals the asymmetric effect of financial liberalization on firm risk. The findings of our study contribute to a clear perception of how financial liberalization affects firm risk. Originality/value: In this paper, we use the data from multination to know clearly how different countries respond to the financial liberalization policies which may affect the firm risk. Then, we conduct a series of robustness checks to make sure that our result is robust.  According to the result, we can see that the negative significant relationship between financial liberalization and firm risk remains unchanged after categorizing our sample into subsamples according to the level of financial liberalization, controlling for changes in the economic development status, and dividing the sample periods based on the time of the financial crises. Furthermore, the quantile regression reveals the asymmetric effect of financial liberalization on firm risk. We note that our findings are new in the literature. Practical Implication: The findings of our paper give suggestions to multinational corporations regarding the proper management of corporate finance in response to adjustments in financial liberalization policies.

With the financial liberalization and globalization, China’s financial system has been deepening, the scale of the stock market has been expanding, and the stock market bubble problem has gradually emerged. The overinflated stock market bubble will undoubtedly increase the risk of the stock market, seriously threaten the stability of the financial system, and even bring disastrous consequences to the economic system. Therefore, the stock market bubble warning evaluation is very important. In the case of considering stock market bubble warning evaluation, the fundamental issues involve strong fuzziness. Picture fuzzy set, depicted by three memberships (positive membership, neutral membership and negative membership), is a more resultful means for capturing fuzziness. In this paper, the novel picture fuzzy score function is given for dealing the comparison problem. Then, the objective weights are calculated by Renyi entropy method. Meanwhile, we develop combined weights, which can reflect both subjective preference and objective preference. Moreover, the picture fuzzy decision making algorithm based on Combined Compromise Solution is presented. Finally, the feasibility of algorithm is stated by the stock market bubble warning evaluation issue. The salient features of the proposed algorithm are that they have no counter-intuitive cases and antilogarithm or division by zero issues.

This article studies the impact of distortions in the access to international capital markets on competition and productivity. I show that a reduction in these distortions leads to an increase in aggregate productivity through two different channels. First, firms that were previously credit constrained respond to better financing terms by increasing their investment in technology, a reallocation effect. Secondly, non-constrained firms also expand their investment in technology because of increased competition, a pro-competitive effect. I provide evidence for these two channels using firm-level census data from the deregulation of international financial flows in Hungary.