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The purpose of this paper is to investigate the interlinkages among four major stock markets in Latin America, i.e., those in Argentina, Brazil, Chile, and Mexico, as well as their associations with the US stock market, which influences financial markets globally.

Using the newly developed Hamilton filter methodology (Hamilton, 2018), the authors decompose each stock series to extract cyclical components.

Results indicate that the US S&P 500 is weakly contemporaneously correlated with stock market indices in Brazil, Mexico and Argentina, whereas it also leads the latter by three months. As such, sufficient time is available for policymakers and investors to enhance their forecasts of the latter.

Results indicate that the US S&P 500 is weakly contemporaneously correlated with stock market indices in Brazil, Mexico and Argentina, whereas it also leads the latter by three months. As such, sufficient time is available for policymakers and investors to enhance their forecasts of the latter.

This paper aims to investigate the cyclical associations among energy prices and key macroeconomic variables for the USA.

To this end, the recently developed Hamilton filter (HF) and the oft-used Hodrick–Prescott filter (HPF) are used. The two methods produce starkly different results regarding the relationships between energy prices on the one hand and output and employment on the other.

While the HF suggests that energy prices are acyclical, the HPF suggests they are procyclical. However, the associations between energy prices and inflation are robust across the two methods, indicating that energy prices are strongly correlated with – and lead – the consumer price index (CPI). Furthermore, unlike the results produced by the HPF, those produced by the HF are robust across seasonally adjusted and unadjusted data.

Given the inherent seasonality in energy prices and the differences in the underlying processes that generate macroeconomic and energy prices, the results obtained from the HPF filter should be interpreted with caution.

To the best of the authors’ knowledge, this is the first study that uses the recently developed HF to examine the associations between the cyclical behaviors of three key macroeconomic variables in the USA – the industrial production index, the CPI, and total nonfarm employment – and the prices of natural gas, crude oil, gasoline, diesel, and heating oil. Second, this study presents a comparison of the results produced by the two filtering techniques. Third, recognizing that energy prices are characterized by seasonality, this study tests the robustness of the results produced by the two filters across seasonally adjusted and unadjusted data.

The purpose of this paper is to suggest that the modern economic theory of bureaucracy developed by economists Breton and Wintrobe is a heretofore unrecognized precursor to the new public management (NPM) construct.

After presenting a comparison of the modern economic theory of bureaucracy to the basic principles of NPM, this paper offers a treatment of Breton and Wintrobe's modern economic theory of bureaucracy that uses the compelling episodic example of the 1944 attempt by the Nazi SS to deceive, through the now infamous Theresienstadt “Embellishment,” the International Red Cross and world communities about the existence of the Nazi Holocaust bureaucracy.

The comparison of the conceptual elements of the two models and the integration of the historical episodic example support the view that the modern economic theory of bureaucracy is a precursor to NPM.

This is the first study to date to present the modern economic theory of bureaucracy as a precursor to the principles of NPM. As such, future research in either area that recognizes the connection made in the present study is potentially enhanced.

The coronavirus disease of 2019 (COVID-19) generated a crisis; however, it also gave us an opportunity to imagine the future and build a better world. Moreover, as we are convinced of the importance of understanding the lessons of history when facing both current and future challenges, this chapter seeks to present a concise overview of global crises since the end of the nineteenth century and to show crises for which we ignored the warning signs and wakeup calls, the consequences of said crises and how we managed to recover and thrive in several cases. Ultimately, we seek to justify the capacity of humanity to build a sustainable future – ideally, a regenerative future.

A host of studies have assessed the determinants of bank liquidity creation, highlighting the relevance of macroeconomic and microeconomic factors. However, whether and how social unrest impacts bank liquidity creation remains a moot issue. To inform this debate, this study aims to exploit bank-level data for Middle East and North Africa (MENA) countries covering the period 2010–2019 to assess the interlinkage between social unrest and bank liquidity creation.

In view of the staggered inception of social unrest across MENA countries, the author uses a difference-in-differences specification to tease out the causal impact.

The findings reveal that the Arab Spring improves liquidity creation after onboarding after confounding factors. This impact differs across conventional and Islamic banks and differs across asset side (market) and liability side (funding) liquidity creation. The evidence also underscores the positive real effects of such liquidity creation on real economic output.

This is one of the early studies exploiting a large sample of MENA banks to examine this issue in a systematic manner.

This study aims to investigate the possibilities of cryptocurrencies as hedges and diversifiers in the Indian stock market before and during financial crisis due to the pandemic and the Russia–Ukraine war.

Researchers have used daily data on cryptocurrencies and Indian stock prices from March 10, 2015 to August 26, 2022. The researchers have used the dynamic conditional correlations (DCC)-GARCH model to determine the volatility spillover and dynamic correlation between stocks and digital currencies. Further, researchers have explored hedge ratio, portfolio weight and hedging effectiveness using the estimates of the DCC-GARCH model.

The findings indicate a negative conditional correlation between equities and cryptocurrencies before the crisis and a positive conditional correlation except for Tether during the crisis. Which implies that cryptocurrencies serve as a hedging asset in the stock market before a crisis but are not more than a diversifier during the crisis, except for Tether. Notably, Tether serves as a safe haven during times of crisis. Finally, the study suggests that Bitcoin, Ethereum, Binance Coin and Ripple are the most effective diversifiers for Indian stocks during the crisis.

This study makes several contributions to the existing literature. First, it compares the hedge and diversification roles of cryptocurrencies in the Indian stock market before and during crisis. Second, the study findings provide insights on risk hedging and can serve as a guide for investors. Third, it may help rational investors avoid underestimating risk while constructing portfolios, particularly in times of financial turmoil.

Researchers of legislative behavior have attempted to explain the decisions of legislators for some time. Public choice scholars have argued that legislators will “sell” political favors in exchange for some from of interest group payment that is thought to benefit the legislator's electoral ambitions. Yet, legislators do not appear to receive the full value of their political favor in these exchanges. That is, the value of the policies offered appears to exceed the price paid by interest groups in the form of campaign contributions, speaking honoraria and other material payments. This imbalance has led some scholars to discount theories that explain legislative behavior motivated by material gain. However, to the extent that legislators value post‐elective employment opportunities, interest groups have an incentive to use the offer of future employment as a payment for present legislative influence. In this sense, perhaps a large portion of the difference in payments can be accounted for in the post‐elective employment careers of elected politicians. In this paper, I explore and explain this theory using a political market model and attempt to identify several attributes that I believe will be common among “prospect‐legislators” whose behavior is principally motivated by concerns with post‐elective life.

Interest in the field of entrepreneurship has significantly increased among academics, practitioners and government officials in the past decade both in the USA and in Europe. The increased interest is reflected in the increased number of courses, majors and minors at colleges and universities throughout the world; the increased number of endowed chairs; the increased number of journals in the field; the increased coverage of the field by the media; and the increased interest in the provision of government support. In light of this significant increased interest, it is important to understand the state of research in the field in Europe in the last few years, the focus of this article.

Public choice theory describes politicians as expected utility maximizing agents who are primarily concerned with their own election prospects. In a fashion similar to Anderson and Tollison, who showed that US President Abraham Lincoln manipulated the military vote in the US Presidential election of 1864, this note presents historical accounts of Winston Churchill’s efforts (desire) to suppress the overall military vote in the British National Election of 1945. The anecdotal evidence and election simulations presented suggest that Churchill’s expected utility maximization suppression strategy was consistent with public choice tenets. As such, the public choice interpretation of British political history presented here adds further to political‐economic models of legislator/executive behavior.