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This paper aims to investigate whether the establishment of commodity futures can effectively hedge systemic risk in the spot network, given the context of financialization in the commodity futures market.

Utilizing industry association data from the Chinese commodity market, the authors identify systemically important commodities based on their importance in the production process using multiple graph analysis methods. Then the authors analyze the effect of listing futures on the systemic risk in the spot market with the staggered difference-in-differences (DID) method.

The findings suggest that futures contracts help reduce systemic risks in the underlying spot network. Systemic risk for a commodity will decrease by approximately 5.7% with the introduction of each corresponding futures contract, since the hedging function of futures reduces the timing behavior of firms in the spot market. Establishing futures contracts for upstream commodities lowers systemic risks for downstream commodities. Energy commodities, such as crude oil and coal, have higher systemic importance, with the energy sector dominating systemic importance, while some chemical commodities also have considerable systemic importance. Meanwhile, the shortest transmission path for risk propagation is composed of the energy industry, chemical industry, agriculture/metal industry and final products.

The paper provides the following policy insights: (1) The role of futures contracts is still positive, and future contracts should be established upstream and at more systemically important nodes in the spot production chain. (2) More attention should be paid to the chemical industry chain, as some chemical commodities are systemically important but do not have corresponding futures contracts. (3) The risk source of the commodity spot market network is the energy industry, and therefore, energy-related commodities should continue to be closely monitored.

The purpose of this action research is to gain insight into how people learn to think systemically. An examination of the themes that emerged from this action research will be undertaken.

An action research approach was adopted which involved the collection and reading of 120 journals that were kept by graduate students in their systems thinking course.

A theory of practice identified and supported three significant areas in systems thinking: how the structure of the system influences the behavior of its members; the consequences of decisions on other parts of the system and a shift from blaming to seeing how one is contributing to the situation; and insights gleaned from actually learning to think systemically: meta‐learning of systems thinking.

The positive implications that emerged from this action research indicate that, once students are introduced to systems thinking theory, tools and application, they are able to link their decision‐making abilities to consequences; see the delays in a system; move away from blaming external “others” and look to see how they are contributing to an issue or problem. Limitations include other areas that could have been included: challenges, stories, and questions that emerged from the action research. Data from other groups would also be warranted.

The paper shows that systems thinking can be taught…that the benefits are being realized on different levels!

This action research presents one of the first attempts to actually gather data on how people learn to think systemically and to begin to categorize the themes and patterns that emerged from the data.

There is an emerging consensus that systemically important banks should face stricter regulations and systemic surcharges. To make this latter principle operational the regulator will need to quantify the systemic importance of individual banks. The purpose of this paper is to review the proposed measures of systemic importance from the research community and discuss their merits relative to how a regulator would ideally wish to calibrate surcharges on systemically important banks, and to evaluate how useful proposed measures of the systemic importance of financial institutions will be to regulators.

The author reviews the main contributions to the research literature and discusses their relevance for the problem faced by regulators.

There are five main caveats that make the proposed measures of systemic importance less useful for regulators.

The proposed measures may help identify relevant aspects of systemic importance, but the regulators will need to construct their own measures for practical use.

The paper provides a critical review of a research literature that could potentially have large practical implications.

At the time they occurred, the savings and loan insolvencies were considered the worst financial crisis since the Great Depression. Contrary to what was then believed, and in sharp contrast with 2007–2009, they in fact had little macroeconomic significance. Savings and Loan (S&L) remediation cost between 2 percent and 3 percent of Gross Domestic Product (GDP), whereas the Troubled Asset Relief Program (TARP) and the conservatorships of Fannie and Freddie actually made money for the US Treasury. But the direct cost of government remediation is largely irrelevant in judging macro significance. What matters is the cumulative output loss associated with and plausibly caused by failing financial institutions. I estimate output losses for 1981–1984, 1991–1998, and 2007–2026 (the latter utilizing forecasts and projections along with actual data through 2015) and, for a final comparison, 1929–1941. The losses associated with 2007–2009 have been truly disastrous – in the same order of magnitude as the Great Depression. The S&L failures were, in contrast, inconsequential. Macroeconomists and policy makers should reserve the word crisis for financial disturbances that threaten substantial damage to the real economy, and continue efforts to identify in advance financial institutions which are systemically important (SIFI), and those which are not.

Many organizations have implemented various types of initiatives within the last few decades in an effort to deal with diversity. A possible missing vinculum (link) between how an organization deals with diversity and its impact on the bottomline is a corporate diversity strategy that is executed using a planned change approach to systemically manage diversity. While many organizations have implemented a corporate diversity strategy, most have not used a “planned change‐corporate diversity strategy”. The lack of a “planned change‐corporate diversity strategy” is quite likely to inhibit managing diversity from becoming systemic to an organization's culture and its way of doing business, thus tending to disallow the potential benefits of diversity to be maximized. Hence, this paper offers a framework for using a “planned change‐corporate diversity strategy” to: progress along the “diversity continuum” starting with acknowledging to valuing, and ultimately to managing diversity; and systemically managing diversity using a eight‐step “managing diversity process”.

The purpose of this study is to examine the effects of financial development on the economic growth of jurisdictions with systemically important Islamic finance.

The authors use several estimation methods. The primary analysis is based on the LSDVC method using a sample of 23 countries covering the period of 2000–2019.

The findings suggest that the financial sector may not be a significant factor in determining economic growth, or that it may decrease it depending on the proxy used. These results are in line with recent studies and robust across different estimation specifications and methods used.

Finance practitioners may reconsider the way they conduct their daily activities as their impact on economic growth is fading away. Similarly, policymakers should consider the role that financial development plays in economic growth alongside other factors that may influence its impact. It may be necessary to examine the moderating effects of institutional development on the relationship between finance and growth and consider the channels through which financial development can contribute to economic growth. Additionally, it would be useful to study the impact of Islamic finance on economic growth using different data sources.

Although the topic has been explored using different data sets and focusing on different samples, it has not been explored considering the impact of Islamic finance development on economic growth. Given the global appeal of the Islamic finance industry, it is worth investigating its significance for economic growth.

The purpose of this paper is to develop an explicitly macroprudential supervisory framework designed to identify threats to financial stability use existing mechanisms to reduce the risk of these threats and to provide information to the authorities to more efficiently mitigate any instability that does arise.

This paper begins with an analysis of the limitations of microprudential regulation. It then develops a macroprudential surveillance framework focused on those financial markets that have the potential to undermine financial stability. It concludes with a discussion of how the surveillance results may be used to enhance financial stability.

The current supervisory focus on microprudential supervision of systemically important institutions is insufficient; an explicitly macroprudential focus is required.

Although this paper’s conceptual framework is applicable to all advanced financial systems the discussion of specific regulatory structures focuses on the USA.

An explicit supervisory focus on the threats posed by major financial markets is feasible and desirable.

The probability of a financial crisis and the economic damage caused by a crisis can be significantly reduced by redirecting some regulatory efforts toward in-depth analysis of major financial markets.

The paper emphasizes that macroprudential supervision must include both quantitative and detailed analysis of the qualitative aspects of key markets.

The purpose of this paper is to analyze whether and how “living wills” and public disclosure of such resolution plans contribute to market discipline and the effective resolution of too big and too complex to fail banks.

The disorderly collapse of Lehman Brothers is analyzed. Large, systemically important banks are now required to prepare resolution plans (living wills). In the USA, parts of the living wills must be disclosed to the public. The public component is analyzed with respect to contribution to market discipline and effective resolution of banks considered too big and complex to fail. In a statistical analysis of the publicly available section of living wills, this information is contrasted with legislative requirements.

The analysis of public disclosures of resolution plans shows that they are insufficient to facilitate market discipline and, in some instances, fail to enhance public understanding of the financial institution and its business. When coupled with the uncertainty over how an internationally active financial institution will be resolved, the paper concludes that these reforms will do little to reduce market expectations that some financial firms are simply too big or too complex to fail.

A very small data set and the necessity of cross-checking the authors' observations with all publicly available sources. The authors have also tried to infer a purpose for public disclosure of parts of resolution plans. The authorities are remarkably vague on the issue and so the authors have assumed they actually did have a specific intent that would strengthen the system.

The inference from the publicly available portion of living wills is that the authorities are a very long way from abolishing too-big-to-fail.

So far as the authors know, this is the first in-depth analysis of the information available in the public sections of living wills.

Telephone interviews were conducted with 64 participants who attended an initial systemic consultation meeting within a community‐based psychology service for people with a learning disability. Most participants found the sessions helpful and liked the reflecting conversations, which they said broadened their views on the presenting problems and offered a positive approach to the meeting, as well as enabling as many views as possible to be heard. However, depending on whether they were carers, colleagues or client and family members, participants' views varied on how prepared and comfortable they felt about the format of the meetings. The authors felt that the results lend support to the overall helpfulness of using an initial systemic consultation meeting when working with this client group.

This study aims to analyse the systemic risk emitted by all publicly listed commercial banks in a key emerging economy, India.

The study makes use of the Tobias and Brunnermeier (2016) estimator to quantify the systemic risk (ΔCoVaR) that banks contribute to the system. The methodology addresses a classification problem based on the probability that a particular bank will emit high systemic risk or moderate systemic risk. The study applies machine learning models such as logistic regression, random forest (RF), neural networks and gradient boosting machine (GBM) and addresses the issue of imbalanced data sets to investigate bank’s balance sheet features and bank’s stock features which may potentially determine the factors of systemic risk emission.

The study reports that across various performance matrices, the authors find that two specifications are preferred: RF and GBM. The study identifies lag of the estimator of systemic risk, stock beta, stock volatility and return on equity as important features to explain emission of systemic risk.

The findings will help banks and regulators with the key features that can be used to formulate the policy decisions.

This study contributes to the existing literature by suggesting classification algorithms that can be used to model the probability of systemic risk emission in a classification problem setting. Further, the study identifies the features responsible for the likelihood of systemic risk.