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IN Parts I, II and III of this series we have discussed the physical nature of divergence, control reversal and various forms of flutter, and have seen how these phenomena can be predicted by theory. The flutter problem is so complicated, however, that the aircraft designer needs the assistance of certain guiding principles; otherwise he may find when the aircraft is ready to fly that the flutter calculations which are just completed show that drastic modifications to the aircraft are necessary. These principles form the basis of this concluding part of the series and have two main objects: first to avoid large changes in design on flutter grounds and secondly to obtain a high efficiency from the flutter calculations.

The aim of this research is to re-examine the dynamic linkages between macroeconomic variables and the stock market indices in Malaysia following some transformational changes in the policies and the exchange rate regime.

Using monthly data points for all the economic variables and the stock market index (KLCI Index), the authors applied vector autoregression (VAR) model to examine the relationship. The authors also used impulse response function (IRF) in order to explore the effect of one-unit shock in “X” on “Y” under the VAR environment.

The authors' study finds a significant relationship between all the macroeconomic variables and the stock market index of Malaysia. The cointegration results indicate a long-term relationship, whereas the vector autoregressive-based impulse response analysis suggests that the Malaysian stock index (KLCI) responds negatively to the money supply, inflation and producer price index (PPI). However, the authors' results indicate a positive response from the stock index to the exchange rate.

The authors' study's results are based on selected macroeconomic variables and the VAR model. Researchers may find other variables and methods more useful and may provide findings accordingly.

Since the results are quite asymmetric, it would be interesting for the market players, policymakers and regulators to consider the findings and explore appropriate opportunities.

While the relationship between macroeconomic variables and stock market indices has been widely examined, a significant gap in the literature remains concerning the role of exchange rate variable on the stock market in an emerging economy context.

This study aims to explore the nexus between insurance penetration and economic development in Vietnam, one of the fastest-growing economies over the past two decades.

This study uses an updated data set of the insurance sector in Vietnam from 1996 to 2020. The autoregressive lagging distribution and cointegrating non-linear autoregressive lagging distribution (NARDL) models are used to explore the nexus between the insurance market development and economic growth.

This study confirms the unidirectional causality and positive impacts of insurance market development on economic growth both in the short and long term, supporting the “supply-leading” hypothesis. Nonlife insurance has more significant but slower impacts on contributing to economic development in the long run. From the NARDL approach, this study also discloses the asymmetric relationship between the insurance industry and economic growth. Aggregate and life insurance display short- and long-term asymmetric impacts, whereas nonlife insurance shows long-term asymmetry.

To the best of the authors’ knowledge, this is the first study to examine the hidden asymmetries of the insurance-growth nexus in Vietnam from non-linear models. Notwithstanding the theoretical contributions to the prior literature, several practical implications are proposed for insurance businesses, policymakers and investors.

The purpose of this paper is to study the impact of the 2016 presidential election polls on the stock market.

The empirical model includes daily stock returns as the dependent variable and past asset prices, 10-year treasury rates, opinion polls and VIX (market uncertainty) as explanatory variables with a one-year lag. The model was estimated using two sets of daily polling data: from July 1, 2015, to November 8, 2016, and from June 1, 2016, to November 8, 2016. Additional descriptive statistics, such as means and standard deviations, were also calculated.

The estimated results did not reveal any statistically significant effects of opinion polls in favor of one candidate over another on stock returns. Simple statistical tests, however, show that the market performed better when Trump held a polling advantage over Clinton.

To the best of the authors’ knowledge, this is the only study that has examined the effects of the 2016 presidential election polls on the US stock market. This study adds value to the understanding of the relationship between election polls and the stock market in the USA.

This study is the first to investigate the causal relationship between Bitcoin and equity price returns by sectors. Previous studies have focused on aggregated indices such as S&P500, Nasdaq and Dow Jones, but this study uses mixed frequency and disaggregated data at the sectoral level. This allows the authors to examine the nature, direction and strength of causality between Bitcoin and equity prices in different sectors in more detail.

This paper utilizes an Unrestricted Asymmetric Mixed Data Sampling (U-AMIDAS) model to investigate the effect of high-frequency Bitcoin returns on a low-frequency series equity returns. This study also examines causality running from equity to Bitcoin returns by sector. The sample period covers United States (US) data from 3 Jan 2011 to 14 April 2023 across nine sectors: materials, energy, financial, industrial, technology, consumer staples, utilities, health and consumer discretionary.

The study found that there is no causality running from Bitcoin to equity returns in any sector except for the technology sector. In the tech sector, lagged Bitcoin returns Granger cause changes in future equity prices asymmetrically. This means that falling Bitcoin prices significantly influence the tech sector during market pullbacks, but the opposite cannot be said during market rallies. The findings are consistent with those of other studies that have established that during market pullbacks, individual asset prices have a tendency to decline together, whereas during market rallies, they have a tendency to rise independently. In contrast, this study finds evidence of causality running from all sectors of the equity market to Bitcoin.

The findings have significant implications for investors and fund managers, emphasizing the need to consider the asymmetric causality between Bitcoin and the tech sector. Investors should avoid excessive exposure to both Bitcoin and tech stocks in their portfolio, as this may lead to significant drawdowns during market corrections. Diversification across different asset classes and sectors may be a more prudent strategy to mitigate such risks.

The study's findings underscore the need for investors to pay close attention to the frequency and disaggregation of data by sector in order to fully understand the true extent of the relationship between Bitcoin and the equity market.

To estimate the volatility of exchange and stock markets and examine its spillover within and across the member countries of BRICS during COVID-19 and the conflict between Russia and Ukraine.

The study utilizes the “dynamic conditional correlation-generalized autoregressive conditional heteroskedasticity (DCC-GARCH)” approach of Gabauer (2020). The volatility of the markets is calculated following the approach of Parkinson (1980). The sample dataset comprises the daily volatility of the stock and exchange markets for 35 months, from November 2019 to September 2022.

The study confirms the existence of contagion effects among member countries. Volatility spillover between exchange and stock markets is low within the country but substantial across borders. Russian contribution increased significantly during the conflict with Ukraine, and other countries also witnessed a surge in the spillover index during the pandemic and war.

It adds to the body of literature by emphasizing the necessity of comprehending the economies' behavior and interdependence. Offers insightful information to decision-makers who must be more watchful regarding the financial crisis and its regional spillover.

The study is the first to explore the contagion of volatility among the BRICS countries during the two biggest crisis periods of the decade.

This study aims to examine to what extent the Japanese financial markets are affected by the four periods of unconventional monetary policies (UMP) implemented by the Bank of Japan from 2013 to 2020.

Using the daily 10-year term spread as a proxy for monetary easing policy, this study uses four sub-sample periods from 2013 to 2020 to look into the effectiveness of UMP on the Japanese financial markets.

Our result shows that not all of the Bank of Japan's unconventional monetary policies are equally effective in influencing the Japanese financial markets. In particular, the QQE policy implemented from April 2013 to October 2014 effectively influenced the stock market, banking sector and foreign exchange market. However, the financial market impact of monetary policy is muted during the QQE expansion period. Likewise, the QQE with a negative interest rate policy influences only the banking sector. Finally, the QQE with its yield curve control policy effectively impacts the financial markets.

This research can be expanded by studying the international spillover effect of the Bank of Japan's UMP on the financial markets in Asian countries.

The findings of this study enable investors to understand the causal relationship between the Bank of Japan's UMP and the financial market indicators, thereby helping them to position their portfolio investments. From the policy perspective, the finding is useful to inform the Bank of Japan on which policy is relatively effective in affecting the financial markets. In light of the empirical finding, the Bank of Japan should continue to pursue the QQE YCCP or revert to the initial QQE policy, as the two policies are relatively more effective than the QQE expansion and QQE NIRP in affecting the Japanese financial markets.

The empirical finding highlights the importance of controlling for the impact of different QQE policies in the model. Future research may consider conducting sub-sample analysis to cater to the different QQE policy regimes. This approach provides a clearer picture and valid inferences on the financial market impact of each QQE policy.

This study provides a comprehensive analysis of the impact of Bank of Japan's QQE on the Japanese financial markets. For the market participants, the findings of this study suggest that investors should closely gauge the development of the unconventional monetary policies of the Bank of Japan because the monetary easing policy influences the decision-making process of commercial banks, pension funds, mutual funds, retail investors and other stakeholders in the financial markets. The policy twist will have future ramifications for their loan, investment and retirement fund portfolios.

The purpose of this research is to examine the impact of alterations in the path of monetary policy rates on inflation via the supply side of an emerging economy.

The study employed semi-annual data covering the period 2007S1 to 2020S2 on the inflation rate, the combined outputs of industry and agriculture, the lending rate, and the monetary policy rate. The vector autoregression model was estimated and counterfactual simulation exercises were conducted.

The study revealed that a move from a higher to a lower monetary policy rate regime resulted in a shift in inflation from a higher to a lower regime. In particular, a 200-basis point reduction in the monetary policy rate over the simulation horizon produces a 1.3% fall in the inflation rate over the same period.

The study has a limitation due to the unavailability of a long-span dataset on all relevant variables. As a result, it is important to exercise caution when interpreting the study's findings. A potential area for further research is to explore how changes in interest rates impact inflation in the real economy by utilising other multiple-variable time series techniques.

It is the opinion of the authors that for inflation in Ghana to move to a lower regime, conscious efforts should be made by the monetary authorities to gradually move from a regime of a high monetary policy rate to a lower one.

In particular, a 200-basis point reduction in the MPR over the simulation horizon produces a 1.3% fall in the inflation rate over the same period.

This study enhances the authors' knowledge of how monetary policy can affect inflation in developing countries through the supply-side channel.

This study explores whether exposure to macroeconomic information provides bellwether firms with information advantages at the macroeconomic level and facilitates managers to utilize such informational advantage for investment decision-making. The author tests whether firms' macroeconomic exposure is associated with sensitivity of their segment-level investments to growth opportunities and how internal and external frictions affect this association cross-sectionally.

This study follows prior research to identify high-macroinformation firms and measures the level of macroexposure based on how closely the firms' underlying business varies with macroeconomic conditions. The main specification is a segment-level regression of investment on growth opportunities and an interaction between growth opportunities and the level of macroeconomic exposure.

The results indicate a significantly positive association between firms' macroeconomic exposure and sensitivity of segment-level investments to growth opportunities, suggesting that bellwether firms can leverage their greater exposure to macroeconomic and external information to improve the quality of their investment decisions. Further evidence shows that this positive association is decreasing in firms' corporate diversification level and is also decreasing in their foreign operation level, implying that internal and external frictions could limit the information benefits ultimately gained by firms from their macroeconomic exposure.

Accounting researchers have recently documented evidence that bellwether firms' management earnings forecasts convey timely information about macroeconomic states, suggesting that managers of certain types of firms are likely to have private macroeconomic information. The main research question in this paper is motivated by incorporating insights derived from recent accounting research findings to shed further light on the impact of firms' macroexposure on their investment decision process.

Post-harvest losses are major problems faced by farmers and this is due to their poor access to credit considered as a low rate of financial inclusion. This paper aims at analysing the relationship between financial inclusion and post-harvest losses in the West African Economic and Monetary Union (WAEMU).

The study engaged data from the Food and Agriculture Organisation [FAO] for post-harvest losses. Also, it engaged data from Banque Centrale des Etats de l’Afrique de l’Ouest [BCEAO] for financial inclusion over the period 2000 to 2020. The study applied the Instrumental Variable Two-Stage Least Squares (IV-2SLS) and Generalised Method of Moments (GMM) to test the robustness of the results.

The results show that financial inclusion reduces post-harvest losses by 1.2%. Therefore, given this result, policies to improve farmers’ access to credit by increasing the rate of financial inclusion, is a necessary condition for the reduction of post-harvest losses.

Social implication of this study is that it contributes to the policy debate on the enhancement of food security by reducing post-harvest losses. The reduction in post-harvest losses and food security, will improve the welfare and livelihood of the society. This aims for the actualization of sustainable development goal of food and nutrition security (SDG-2).

The findings imply that efforts by governments and policymakers to improve farmers’ access to credit by increasing the rate of financial inclusion would reduce post-harvest losses in West African countries that are members of the WAEMU. Also, investment in education, ICT and building warehouse for farmers will help in reducing post-harvest losses. It implies that educated farmers have more opportunities to be financially inclusive than those who are not educated.