class="MsoNormal" style="margin-top: 12pt; text-align: justify;">Excessive volatility in financial markets can disrupt economic activity, affect investor and consumer confidence, and potentially lead to financial crises in an economy. Due to this backdrop, this study examined the link between asset class volatility and the output gap in Nigeria. The asset classes were categorized into stock, crude, gold, and bitcoin. The study adopted the GARCH and Bayesian VAR approach and found that all share index has an initial negative impulse with output gap while other asset classes have a positive impulse on output gap. The outcome of this study revealed to both policymakers and economists the potential risks and vulnerabilities of asset class volatility in the economy. Based on this result, recommendations are made amongst which is the strengthening of the Nigerian stock market to help with the inflationary pressures this is because the Nigerian stock market hurt the output gap also, the government should prioritize investing in crude, gold, and bitcoin to push the actual output to full capacity, which brings about employment.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">The Paper investigates the elasticity of substitution between foreign direct investment (FDI) and private domestic investment on the external reserves of some selected 14 African countries. To achieve the objective of the best substitutability of investment suitable for Africa, using data on gross fixed capital formation as a proxy for private domestic investment, inflation, external reserves, and foreign direct investment. From the Empirical literature reviewed, studies on the substitutability of investments in external reserves in Africa have not yet been addressed. The Dynamic General Methods of Moments (DGMM) was employed for the analysis since the African countries are more than the scope of the study which ranges from 2010 to 2022. The results show that foreign direct investment is preferred to private domestic investment in Africa. Additionally, the elasticity of substitution from FDI to domestic private investment was found to be stronger and more elastic than the contrary. Therefore, the study recommends that African countries should focus on strengthening fixed assets to create more revenue from additional fixed assets which would impact more on the external reserves of Africa, by attracting foreigners.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">Liquidity and its associated issues are one of dominant strands in the market microstructure. In this study, microblogging-based behavioral perspective on economic unrest is linked to the market liquidity. The concept of liquidity is examined in terms of price dispersion relative to the quantity traded. The analysis contains the quantification of multiple linear regression, Gaussian distribution technique, and vector error correction methodology. In the economic stability period, the investor’s mood, either in positive manner or pessimistic context, had an influential role on the price impact volume-based liquidity. Meantime, the probability was higher for occurrence of price impact volume-based liquidity in response to the sentiment indicators. In the economic unrest environments, the positive bias investor’s mood was not vigorous enough to influence the dispersion of asset’s prices and trading quantity. Most importantly, the negative bias investor’s emotion was linked to increase the dispersion of asset’s prices relative to the quantity traded. Investors with a lower amount of trading quantity had declined the liquidity in the market. Additionally, there was a higher probability for occurrence of illiquidity in the pessimistic market periods. However, changes in past sentiment series were not associated with changes in pervious liquidity series, either in short run or long run. The findings may be potentially applicable to manage the behavioral perspective of liquidity risk.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">The paper is motivated by the growth of the electronic payments system and its relevance in enhancing the banking industry's earnings. Consequently, the paper examines the causal relationship between the electronic payments system and the banking industry's returns in Nigeria. The paper offers some important contributions to the literature involving the use of an approach that allows for data-driven identification of the change points in the electronic payments system and the banking industry's returns nexus. The paper discovered three important findings. First, the causal relationship between the electronic payments system and the banking industry's returns in Nigeria changes with time changes. Second, there is evidence of causality between the electronic payments system and returns on assets and equity, however, the causality was more evident under the recursive window. Third, the causal relationship was more evident in some specific periods such as 2020Q4, all quarters of 2015 to 2016, and 2020 to the end of 2023. The paper recommends that policymakers should revisit and reinvigorate the specific cashless policies instituted in 2012-2016 that aided higher returns to the banking industry. Similarly, the Central Bank of Nigeria and other banking industry players should intensify efforts to encourage the use of electronic payments due to their usefulness and ability to enhance the banking industry's earnings.

We extend the Shariah-compliant digital assets and Islamic Fintech literature through exploring the time-frequency associations between the volatility index (VIX) and cryptocurrencies (both Islamic and traditional). Employing wavelet-based technique, we find that Islamic cryptocurrencies demonstrate low or no coherency with stock market volatility compared to traditional cryptocurrencies (except Tether) during the whole time and frequency bands, highlighting the hedging capabilities of Islamic cryptocurrencies. Tether also serves the same against VIX, as there is a low or favorable link between these variables. Finally, our findings would be prolific to digital currency traders and investors in designing the portfolio strategies.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">Banks operating within a free economic environment and with constructive regulatory frameworks can function with enhanced efficiency, augmenting their profitability. This study aimed to examine the influence of economic freedom and financial restrictions on banks' profitability within the Organization of Islamic Cooperation member nations. The study used a sample of 1453 banks, collecting panel data spanning 13 years. The System-GMM methodology was justified based on the enduring characteristics of the data and the profitability metrics. The dependent variables, namely the Net Income Margin, Return on Average Assets, and Return on Average Equity were individually examined. The research findings indicate that most economic freedom indicators, except for investment freedom, harm bank profitability. The influence of the rule of law on profitability indicators is mostly adverse, although regulatory quality within the financial system has a comparatively favorable effect on profitability. Furthermore, bank-specific performance indicators had a negative impact on profitability, except for bank size. Moreover, country-specific variables substantially impact banks' profitability, including inflation, tax, and interest rates. The presence of Islamic banking has been shown to substantially impact the profitability performance of banks within the Organization of Islamic Cooperation. OIC banks' profitability is adversely impacted by the ongoing health crises, including the Covid-19 pandemic.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">The rise of privately issued digital currencies, which primarily serve as alternative investment assets poses a challenge to the traditional financial instruments traded in the financial market. This study examines the dynamic relationship between the major privately issued digital currency (Bitcoin) and two financial market securities in Nigeria. The paper employed Vector Autoregressive (VAR) model and presents three relevant findings. First, the impulse response function indicates the absence of a significant response of the Nigerian financial market to shocks emanating from the Bitcoin market, implying lower connectedness between the two markets. Secondly, the outcome of the variance decomposition reveals a lower contribution of Bitcoin to changes in stock prices and treasury bills, however, stock prices and treasury bills contributed higher impact to each other compared to the contribution of Bitcoin. Thirdly, a weak bi-directional causality between the Bitcoin and treasury bills was observed and a uni-directional causality running from treasury bills and stocks, implying the existence of portfolio rebalancing from the fixed income to the equities market. Despite the weak connection between digital currency and the financial market, the paper recommends that the Central Bank of Nigeria and the Securities and Exchange Commission should maintain monitoring the development of crypto exchanges and continue reviewing the existing policy restricting cryptocurrency transactions through banks to avoid its unsavoury effects.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">Using an international dataset, this letter finds that high stock returns are associated with increased death rates from drug use disorders. Although the out-of-pocket expenditure on healthcare also rises following a stock market surge, the net effect on life expectancy is significantly negative.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">In the dynamic landscape of exponential growth in the games industry, crowdfunding has emerged as an important funding method for indie games. Previous research has provided inconsistent results on the factors behind its success. This study closes this gap by examining which factors influence success and how success factors vary with different definitions of success and funding goals. The results show that caution is needed when interpreting the results as they depend on model specifications even within the same dataset. Furthermore, the study proposes a framework, supported by an empirical analysis of 1,967 campaigns, to increase the probability of crowdfunding success.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">We develop a four-party model involving banks, merchants, consumers, and platform firms to explain why large shopping malls can offer interest-free installment services to consumers. Using a collaboration between an online shopping platform firm and multiple banks to issue co-branded credit cards as a natural experiment, we find that consumers’ spending on the platform fulfills the requirements for merchants and banks to choose a four-way model. This study highlights the pivotal role of platform firms in the credit card market.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">This paper investigates the effect of economic policy uncertainty (EPU) on the systemic risk of the fintech industry. To achieve this goal, we first estimate the evolution of system-wide systemic risk using the CatFin method. We further examine whether EPU significantly affects systemic risk. Our findings demonstrate that the systemic risk of the fintech industry is time-variant and sensitive to major crisis events. Systemic risk tends to increase after major crises, especially the outbreak of the COVID-19 pandemic. EPU has a considerable impact on systemic risk, notably during periods of turmoil.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">The relation between fund flows and returns in the Australian ETF industry is assessed in this study. Daily data from 43 equity ETFs over the period 2019-2023 are used. The main research objective is to accentuate whether past returns can predict future fund flows and in what way and vice versa. According to the results of the applied regression analysis, past flows and past returns can predict to some extent concurrent flows. This is also the case about concurrent returns. However, in both cases, the results are not unanimous and depend on the specification of the applied regression model.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">In an effort to provide policy recommendations for Nigeria's transition to full-fledged inflation targeting, this study examines Ghana's monetary policy frameworks (monetary aggregates targeting and inflation targeting) using ARDL bounds test for cointegration and Error Correction Mechanism (ECM) on annual time series data spanning 1965 to 2022 obtained from the Bank of Ghana database and the World Bank database on World Development Indicators. The results demonstrate that monetary aggregates targeting has not been successful in both the short-run and long-run periods in moderating and stabilizing inflation; however, inflation moderated under inflation targeting in both the short run and the long term. This indicates that inflation targeting proves to be a superior monetary policy framework for inflation control.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">The performance of the equity Australian Exchange Traded Funds (ETFs) over the five-year period 2019-2023 is examined in this study. The empirical results show that, on average, the return of the examined ETFs has been positive over the study period. In addition, the ETFs has beaten, in raw return terms, the S&P/ASX 200 Index, which is a proxy for the entire stock market in Australia, in three out of five years during the study period. However, these ETFs have not achieved any statistically significant alpha against the market benchmark. Moreover, the results of a cross-sectional regression model show that performance is negatively related to the age of ETFs but positively to their size. Finally, when it comes to persistence, the empirical findings indicate that in most of the cases performance reverts from one year to another.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">This paper explores how digital technology reduces trade costs using bilateral trade data from RCEP member countries and a panel fixed effects model. The findings show that digital technology significantly lowers trade costs, a conclusion that holds even after accounting for lag effects and various robustness checks. The impact of digital technology on trade costs follows an inverted U-shape: the effect is most significant in the current period, especially with a one-period lag, and diminishes over time. Larger economies and higher export levels strengthen this negative impact due to their reliance on exports and continuous improvements in domestic digital technology. The study recommends investing in digital infrastructure, formulating reasonable internet access policies, supporting digital skills development, and enhancing digital connectivity to bridge the digital divide, thereby promoting trade facilitation and efficiency.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">This study examines the response of real stock returns to expected inflation and uncertainty as measured by state variable correlated with equity market volatility (EMV). Evidence reveals a significantly negative relationship between real stock returns and expected inflation for each country except some cases in India and Japan. Evidence indicates a negative relationship between real stock returns and uncertainty, which is measured not only by the impact of the Fed’s monetary policy uncertainty but also from various state variables that covary with EMV. These elements have not been explicitly incorporated into test equations in previous studies of the inflation-stock return relationship. The model is robust in its ability to test data for both advanced and emerging markets, level or the first difference of explanatory variables, and various categorical EMVs. Evidence shows that the Fed’s rate hikes respond to the inflation data, displaying a nonlinear impact on real stock returns.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">I examine the problem of budget deficit in a growing economy in which consumers hold money as a part of their savings in the case where consumers live forever. For simplicity and tractability I use a discrete time dynamic model and Lagrange multiplier method. In the appendix I briefly explain the solution using a discrete time version of the Hamiltonian method. I will show the following results. 1) Budget deficit is necessary for full employment under constant prices. 2) Inflation is induced if the actual budget deficit is greater than the value at which full employment is achieved under constant prices. 3) If the actual budget deficit is smaller than the value which is necessary and sufficient for full employment under constant prices, a recession occurs. Therefore, balanced budget cannot achieve full employment under constant prices. I do not assume that budget deficit must later be made up by budget surplus.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">This study investigates the impact of COVID-19 on bank borrowers across 22 Arab economies from 2017 to 2022, employing the two-step system GMM estimator. The findings reveal a significant negative effect of COVID-19 on the number of bank borrowers, highlighting a sharp decline in borrowing activity due to the pandemic’s economic disruptions. Notably, the decline was more pronounced in non-GCC countries, where economic structures and pandemic responses differed. Robustness tests, including subsample analysis and alternative econometric models (pooled OLS, fixed effects, random effects, and 2SLS), consistently confirm these results. The study emphasizes the need for targeted policy interventions to stabilize financial systems, reduce borrowing costs, and control exchange rate fluctuations to maintain credit access during crises. The findings provide crucial insights for policymakers aiming to support economic recovery and strengthen the resilience of the banking sector in the face of future external shocks.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">This paper examines the efficiency, in its weak form, of the clean energy stock indices, Clean Coal Technologies, Clean Energy Fuels, and Wilderhill, as well as the cryptocurrencies classified as "dirty", due to their excessive energy consumption, such as Bitcoin (BTC), Ethereum (ETH), Ethereum Classic (ETH Classic), and Litecoin (LTC), from January 2020 to May 30, 2023. In order to meet the research objectives, the aim is to answer the following research question, namely whether: i) the events of 2020 and 2022 accentuated the persistence in the clean energy and dirty energy indices? The results show that clean energy indices such as digital currencies classified as "dirty" show autocorrelation in their returns; the prices are not independent and identically distributed (i.i.d). In conclusion, arbitrage strategies can be used to obtain abnormal returns, but caution is needed as prices can rise above their real market value and reduce trading profitability. This study contributes to the knowledge base on sustainable finance by teaching investors how to use forecasting strategies on the future values of their investments.

class="MsoNormal" style="margin-top: 12pt; text-align: justify;">There must be a better match between the supply of financial news graduates in colleges and the media's demand for financial news talents. Based on 300 questionnaires and in-depth interviews from three universities, namely Shanghai University of Finance and Economics, Nanjing University of Finance and Economics, and Jiangxi University of Finance and Economics, this paper uses the interview method to excavate the professional quality improvement path for majoring in financial news students. Results reveal that undergraduates majoring in financial news have problems such as low professional identity, insufficient recognition of the discipline system, poor sense of professional identity, common matching between job selection and majors, and worrying about the status quo of professional literacy. Therefore, the improvement of the professional quality of students majoring in financial news and the reform of the training program needs to drive the professional quality of students in multiple dimensions, change their professional cognitive problems, strengthen their professional identity, and achieve an effective match between supply and demand of financial media professionals.