Oral History as a Source for the Interpretation of UBH: The World War II Shelters in Naples Case Study

What can be the contribution of oral history to the interpretation of tangible cultural assets? Starting from this conceptual question, this article focuses on the case study of the experiences Second World War in Naples bomb shelters, recently included within the Underground Built Heritage (UBH) class. The hypothesis of the research is that bomb shelters are very significant elements in the subsoil of Naples but that, due to the lack of distinctive elements and dedicated storytelling, they are only partially exploited in the context of urban parks or generic itineraries Naples's subsoil. The thesis of the research is that the memories of those children that took refuge there during World War II (WWII), which were collected with the adoption of the oral history methodology, can integrate their value as elements of local cultural heritage and eventually support their interpretation for the benefit of the new generations. The methodology adopted was the collection, via structured and unstructured interviews, of the direct testimonies of those who took refuge in Naples' underground during the alarms. Twenty-three interviews were carried out, and all the issues introduced have been classified according to the various themes addressed during the narration in order to allow the reconstruction of dedicated storytelling in the future. The research was carried out immediately after the acute phase of the COVID-19 pandemic, an event that claimed many victims belonging to the generation of our witnesses, whose memories were at risk of being lost forever. © 2023 by the author.

A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies

Several procedures to forecast daily risk measures in cryptocurrency markets have been recently implemented in the literature. Among them, long‐memory processes, procedures taking into account the presence of extreme observations, procedures that include more than a single regime, and quantile regression‐based models have performed substantially better than standard methods in terms of forecasting risk measures. Those procedures are revisited in this paper, and their value at risk and expected shortfall forecasting performance are evaluated using recent Bitcoin and Ethereum data that include periods of turbulence due to the COVID‐19 pandemic, the third halving of Bitcoin, and the Lexia class action. Additionally, in order to mitigate the influence of model misspecification and enhance the forecasting performance obtained by individual models, we evaluate the use of several forecast combining strategies. Our results, based on a comprehensive backtesting exercise, reveal that, for Bitcoin, there is no single procedure outperforming all other models, but for Ethereum, there is evidence showing that the GAS model is a suitable alternative for forecasting both risk measures. We found that the combining methods were not able to outperform the better of the individual models.

Determinants of Foreign exchange exposure during the COVID-19 crisis: A Multi-country evidence

The research question of which firm-level factors make firms more vulnerable to exchange rate fluctuations during periods of crisis has rarely been explored by prior literature. Using a large sample of 1577 firms from 9 developed and 11 emerging countries, this study presents a comprehensive analysis of how firm-level factors affect firms' foreign exchange exposure before and during the COVID-19 crisis. The results provide evidence of a substantial increase in firms' linear exposure during the COVID-19 period. The cross-sectional analysis reveals that the effects of firm-level variables on exposure are more pronounced during crisis periods and are different from non-crisis periods. Firms that have effective asset utilization or large operating profit margins remain less exposed during times of stress. Contrary to hedging theory, firms that have high incentives to hedge such as firms with high financial leverage become highly exposed to currency fluctuations during crisis periods. The interaction analysis provides further evidence that firms with high leverage can limit their foreign exchange exposure during periods of crisis if they have high asset turnover or high operating profits. The results offer important practical implications to firms for risk management during periods of crisis.

Machine Learning and Deep Learning based Stock Market Prediction considering Covid-19 as a Feature

India's capital markets are witnessing intense uncertainty due to global market failures. Since the outbreak of COVID-19, risk asset prices have plummeted sharply. Risk assets declined half or more compared to the losses in 2008 and 2009. The high volatility is likely to continue in the short term;as a result, the Indian markets have declined sharply. In this paper, we have used different algorithms such as Gated Recurrent Unit, Long Short-Term Memory, Support Vector Regressor, Decision Tree, Random Forest, Lasso Regression, Ridge Regression, Bayesian Ridge Regression, Gradient Boost, and Stochastic Gradient Descent Algorithm to predict financial markets based on historical data available along with economic and financial features during this pandemic. According to our findings, deep learning models can accurately estimate financial indexes by utilizing non-linear transaction data. We found that the Gated Recurrent Unit performs better than the existing model. © 2023 IEEE.

Effect of Remittance Inflows on External Debt in Developing Countries

This paper analyzes the effect of remittance inflows on external debt in developing countries, by identifying international reserves as a potential transmission channel. Using panel data over the period 1970–2017 and covering 50 low-and middle-income countries worldwide, we find a positive and significant effect of remittance inflows on the external debt-to-GDP ratio. We also find a negative and significant effect of international reserves on external debt. After controlling for international reserves, the effect of remittance inflows on external debt increases;it remains positive and significant. The results suggest that the role of international reserves as a self-insurance mechanism, and the Dutch disease effect related to remittance inflows are at play. In addition, we find negative and significant effects of economic growth and savings-investment gap on external debt. We also find positive and significant effects of the nominal exchange rate and the United States lending interest rate on external debt. We discuss the policy implications of these findings, while highlighting factors that policymakers should focus on for containing external debt in developing countries in the post-COVID-19.

Trade-based money laundering and informal remittance services: implications on the sustainability of the balance of payments of a small open economy

PurposeThis study aims to discuss the consequences of trade-based money laundering (TBML) and informal remittance services on the sustainability of the position of balance of payments and net foreign assets of a small open economy.Design/methodology/approachThis paper uses a case study design using facts related to TBML and informal remittance services on the balance of payment and net foreign assets of Sri Lanka.FindingsThe contextual analysis reveals that the growth of the informal economy promotes informal remittance services in Sri Lanka. The policy decision to peg local currency to US dollars as a result of a shortage of foreign exchange had forced people to use informal channels for different purposes. The unclear and vague customer due diligence process of the anti-money laundering and countering the financing of terrorism (AML/CFT) regime also has forced people to use informal remittance services. Criminals especially drug traffickers have grabbed the promoted informal remittance services to transfer proceeds from Sri Lanka to overseas drug suppliers. On the other hand, systematic deficiencies in monitoring and regulation of movement of fund transfers and merchandise across borders provide opportunities for criminals to use different TBML techniques to transfer funds. These limitations force policymakers and regulators to think of developing a comprehensive payment ecosystem to prevent money laundering and terrorist financing. Therefore, the global initiative is required to move towards a payment ecosystem from a recommendation-based AML/CFT regime to reduce global crimes.Research limitations/implicationsThis study was designed to discuss the implications of TBML and informal remittance services on the balance of payments and net foreign assets in a small open economy. The structure and size of the economy, the strength of the overall economy and the AML/CFT regime will play an important role in controlling criminal activities and combating money laundering of an economy;hence, the impact of TBML and informal remittance services will vary accordingly across the countriesOriginality/valueThis paper is an original work done by the authors, which discusses the implications of TBML and informal remittance services on the balance of payments and net foreign assets of an emerging market context.

The Women's Role in the Resilience of Farmers' Households during the COVID-19 Pandemic in Gubugklakah Village, Poncokusumo District, Malang Regency

The cause of rural changes, in terms of demographic, technological developments, climate changes, and the Covid-19 pandemic potential to cause vulnerabilities, especially for women as individuals in household members. These must be responded with livelihood resilience by involving the women's role to contribute in the agricultural and non-agricultural sectors. This study aims to (1) describe the vulnerabilities of farmers' households and (2) analyze women's role in household resilience through the use of livelihood assets during the Covid-19 pandemic. This research was conducted in Gubugklakah village, Malang regency as a tourist village affected by the closure of TNBTS tourist visits due to the Covid-19 pandemic. This research used the simple random sampling technique, with total sample of 64 women farmers. Data were analyzed using WarpPLS software. The results showed that farmers' households experienced several vulnerabilities by that the households' livelihood assets: natural, physic, human, social and financial capital can be optimized to achieve a degree of resilience. The women's role in resilience efforts is as the core of the household, because all financial cycles involve housewives' role, such as reducing consumption expenditures, selling jewelry assets, taking savings, involving in farm worker, and others.

The Moderating Effects of Corporate Social Responsibility on Corporate Financial Performance: Evidence from OECD Countries

This study aims to investigate the nature and intensity of the changes in corporate financial performance due to the corporate social responsibility (CSR) disclosures as a result of certain relationships between corporate governance and company performance in the non-financial sector. This study selected 625 non-financial companies across six organizations for economic cooperations (OECD) countries' stock markets for the period of 10 years (2012–2021). For this qualitative study, corporate governance, financial performance, and corporate social responsibility score data were collected from the DataStream, a reliable database for examining the research on OECD countries' listed companies. For the data analysis we applied various statistical tools such as regression analysis and moderation analysis. The findings of the study show that all attributes of the corporate governance mechanism, except for audit board attendance, have significant positive impacts on financial performance indicators for all the selected OECD economies except the country France. France's code of corporate governance has a significant negative impact on return on asset (ROA) and return on equity (ROE) due to differences in cultural and operational norms of the country. The audit board attendance has no significant impact on ROA. Moreover, all the attributes except board size (BSIZ) have significant positive impacts on the earnings per share (EPS) in Spain, The United Kingdom (UK) and Belgium. The values obtained from the moderation effect show that Corporate social responsibility is the key factor in motivating corporate governance practices which eventually improves corporate financial performance. However, this study advocated the implications, Investors and stakeholders should consider both corporate governance and CSR disclosures when making investment decisions. Companies that prioritize both governance and CSR tend to have better financial performance and are more likely to mitigate risks. Moreover, the policy makers can improve the code of corporate governance in order to attain sustainable development in the stock market.

The ECB's asset purchase programme: Theory, effects, and risks

In response to the Covid‐19 crisis, the European Central Bank (ECB) has relaunched a massive asset purchase programme within its combined‐arms monetary strategy. This paper surveys and discusses the theory and the evidence of the central bank's unconventional monetary tools for the euro area. It analyses the role of the asset purchase programmes in the ECB's toolkit and the associated risks, focusing specifically on the gradual unwinding of these unconventional initiatives. Finally, the paper offers some insight into the possible evolution of the ECB's monetary policy.

Women's Participation in Firms' Management and Their Impact on Financial Performance: Pre-COVID-19 and COVID-19 Period Evidence

At a time when gender equality is a key priority of all international organizations, this paper can be considered a remarkable contribution to the role of women executives in firms' performance. More specifically, this study focuses on the effect of women holding positions of responsibility on firms' performance worldwide. For the purposes of our research, we applied cross-sectional and panel data analysis for all sectors at an international level from 2019, the year preceding the breakout of the pandemic crisis, to 2021, while the indicators used to measure the participation of women in executive positions are classified as ESG indices. The empirical analysis findings end up showing that the participation of women in executive positions positively affects firms' performance over time, while there is no material change observed before and during the COVID-19 pandemic period. More specifically, when the percent of women processing job positions of responsibility increases by 10%, then the index of profitability will increase from 1.4% to 1.8%, regardless of the measurement of female participation in executive positions used. The results of this study constitute a remarkable contribution to the promotion of the creative economy, the progress of societies, and sustainable development. The research's outcome can be primarily used by policymakers drawing up policies for achieving gender equality in the labor market and workplaces and by shareholders and firms' managers in order to trust females in executive positions in favor of their firms' financial performance. The current study is unique in that it focuses on the period before and during the COVID-19 period, as a period of high volatility in economic activity worldwide, while the sample includes firms from large and mid-cap companies belonging to developed and emerging markets. The above approach will contribute to providing more credible information related to the role of women executives in firms' performance.

Diversification and hedging strategies of green bonds in financial asset portfolios during the COVID-19 pandemic

In this paper, we investigate whether investors can reap potential diversification or hedging benefits from holding green bonds in a portfolio containing a conventional financial asset during the COVID-19 pandemic. Using data from 6 November 2014 to 5 November 2020, we estimate corrected dynamic conditional correlation between between green bonds and four major asset classes: stocks, corporate bonds, commodities, and clean energy. We extend our analysis by using these correlations to examine hedging, optimal portfolio weights, and naïve strategies and evaluate their implications for investors by calculating hedging effectiveness and utility gain improvement. Results reveal that across the full sample, pre-COVID-19, and during-COVID-19 periods, optimal portfolio weights represent an ideal strategy to realize the greatest risk reduction and risk-adjusted return. Further, green bonds could add substantial diversification benefits for investors holding assets in clean energy, global stocks, and commodities.

On stylized facts of cryptocurrencies returns and their relationship with other assets, with a focus on the impact of COVID-19

This study provides an empirical analysis on the main univariate and multivariate stylized facts iin return series of the two of the largest cryptocurrencies, namely Ethereum and Bitcoin. A Markov-Switching Vector AutoRegression model is considered to further explore the dynamic relationships between cryptocurrencies and other financial assets. We estimate the presence of volatility clustering, a rapid decay of the autocorrelation function, an excess of kurtosis and multivariate little cross-correlation across the series, except for contemporaneous returns. The analysis covers the pandemic period and sheds lights on the behaviour of cryptocurrencies under unexpected extreme events.

Are gold and cryptocurrency a safe haven for stocks and bonds? Conventional vs Islamic markets during the COVID-19 pandemic

Purpose: This study aims to identify the ability of gold and cryptocurrency (Cryptocurrency Uncertainty Index (UCRY) Price) as safe haven assets (SHA) for stocks and bonds in both conventional (i.e. stock indices and government bonds) and Islamic markets (i.e. Islamic stock indices and Islamic bonds (IB)). Design/methodology/approach: The authors employed the nonadditive panel quantile regression model by Powell (2016). It measured the safe haven characteristics of gold and UCRY Price for stock indices, government bonds, Islamic stocks, and IB under gold circumstances and level of cryptocurrency uncertainty, respectively. The period spanned from 11 March 2020 to 31 December 2021. Findings: This study discovered three findings, including: (1) gold is a strong safe haven for stocks and bonds in conventional and Islamic markets under bearish conditions;(2) UCRY Price is a strong safe haven for conventional stocks and bonds but only a weak safe haven for Islamic stocks under high crypto uncertainty;and (3) gold offers a safe haven in both emerging and developed countries, while UCRY Price provides a better safe haven in developed than in emerging countries. Practical implications: Gold always wins big for safe haven properties during unstable economy. It can also win over investors who consider shariah compliant products. Therefore, it should be included in an investor's portfolio. Meanwhile, cryptocurrencies are more common for developed countries. Thus, the governments and regulators of emerging countries need to provide more guidance around cryptocurrency so that the societies have better literacy. On top of that, the investors can consider crypto to mitigate risks but with limited safe haven functions. Originality/value: The originality aspects of this study include: (1) four chosen assets from conventional and Islamic markets altogether (i.e. stock indices, government bonds, Islamic stock indices and IB);(2) indicator countries selected based on the most used and owned cryptocurrencies for the SHA study;and (3) the utilization of UCRY Price as a crypto indicator and a further examination of the SHA study toward four financial assets. © 2023, Michaelia Widjaja, Gaby and Shinta Amalina Hazrati Havidz.

Cryptocurrency Market Transformation during the Pandemic Covid-19

The pandemic and subsequent changes in various spheres of human activity have also transformed consumer behavior, particularly in the cryptocurrency market. The article is aimed at identifying the priority directions of transformations taking place in the cryp-tocurrency market in the conditions of the Covid-19 pandemic under the influence of certain groups of factors. System and network approaches to understanding the cryp-tocurrency market have been identified. The cryptocurrency market is considered from a functional and institutional point of view. From a functional point of view, the crypto-currency market is a set of economic relations in cyberspace regarding cryptocurrency mining, initial coin offering (ICO) and circulation of cryptocurrencies based on the laws of supply and demand. From an institutional point of view, the cryptocurrency market is a set of participants in virtual currency schemes who carry out cryptocurrency trans-actions. The following signs of cryptocurrency market segmentation are justified such as those depending on the market capitalization of the cryptocurrency;on the nature of the crypto asset's movement;on operations carried out on the market;on the region;on consumers of services. Factors that influence the functioning of the cryptocurrency market are systematized according to the following groups: macroeconomic, price, en-vironmental, geographic, market, behavioral and technological. The influence of gold, oil prices, the daily number of Covid-19 cases and deaths from Covid-19, the MSCI ACWI global stock index, the iShares MSCI All Country Asia ex Japan ETF, the Wilshire 5000 Total Market Index on the Bitcoin exchange rate is revealed. The trends in the crypto-currency market development in the post-war period are justified, namely the growth of investors' interest in cryptocurrencies against the background of the initial coin offer-ing collapse;growth of payments in cryptocurrencies;strengthening the regulatory landscape on a global and national scale;integration of the cryptocurrency market with traditional finance;attracting non-typical participants to the cryptocurrency business;expansion of participants in the infrastructure of the cryptocurrency market due to the rapid cryptocurrency market development, in particular, due to the production of equip-ment for its operation.

Reevaluating the risk minimization utility of Islamic stocks and bonds (Sukuk) in international financial markets

We examine the risk minimization utility of Islamic stock and Sukuk (bond) indices by studying their linkages against traditional global counterparts. We first employ an asymmetric power ARCH-based ADCC model on an extended dataset employed by Kenourgios et al. (2016). Our sample ranges from July 2007 to June 2021 covering the Global Financial Crisis (GFC), the European Sovereign Debt Crisis (ESDC), and the COVID-19 pandemic. Econometric tests suggest strong evidence of coupling in the bulk of Islamic equity indices. A handful of emerging market indices constitute exceptions. Qualitatively similar results emerge from time–frequency analysis via wavelet tools, revealing pervasive coupling in both returns and volatility series. The linkages are scale-dependent in only a few pairs. In contrast, Sukuk indices are uncoupled from their global fixed income counterparts and relevant risky debt portfolios. In sum, the risk-return characteristics of Islamic equities (especially in developed economies) remain coupled to major global benchmarks and therefore are unlikely to appeal as safe haven candidates. The converse applies to Sukuk, which promises potential portfolio diversification benefits and safe haven status in ‘normal' and crisis periods.

China: The Bankable State

The volume on China: The Bankable State rejects neoliberal consensus and focuses on crucial contributions of the Chinese state in shaping Chinese economy. This book makes crucial theoretical contributions to the study of local political economy of China. This book engages with Chinese state responses to challenges China faces in the processes of reform, transition and development of both commercial and non-commercial banks. This book explores Chinese economic growth and development policy processes and its uniqueness in the wider world economy. The book examines Chinese financial policy praxis and offers an insightful account of its successes for the wider resurgence of alternative political economy of local development. Additionally, this book also showcases state led entrepreneurship in China. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

Racial and Ethnic Disparities in Housing Instability During the COVID-19 Pandemic: the Role of Assets and Income Shocks.

Stable and adequate housing is critical to sound public health responses in the midst of a pandemic. This study explores the disproportionate impact of the COVID-19 pandemic on housing-related hardships across racial/ethnic groups in the USA as well as the extent to which these disparities are mediated by households' broader economic circumstances, which we operationalized in terms of prepandemic liquid assets and pandemic-related income losses. Using a longitudinal national survey with more than 23,000 responses, we found that Black and Hispanic respondents were more vulnerable to housing-related hardships during the pandemic than white respondents. These impacts were particularly pronounced in low- and moderate-income households. We found that liquid assets acted as a strong mediator of the housing hardship disparities between white and Black/Hispanic households. Our findings imply that housing became less stable for minority groups as a result of the pandemic, particularly those households with limited liquid assets. Such housing-related disparities demonstrate the need for policies and practices that target support to economically marginalized groups and families of color in particular.

Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry

The transportation industry is characterized as a capital-intensive industry that plays a crucial role in economic and social development, and the rapid expansion of this industry has led to serious environmental problems, which makes the eco-efficiency analysis of the transportation industry an important issue. Previous research paid little attention to the regulatory scenarios and suffered from the incomparability problem, hence this paper aims to reasonably estimate the eco-efficiency and identify its evolutionary characteristics. We measure the eco-efficiency and the corresponding global Malmquist–Luenberger productivity index using a modified model of the data envelopment analysis framework, in which different regulatory constraints are incorporated. Based on the empirical study on the transportation industry of thirty provinces in China, we find that the eco-efficiency of Chinese transportation industry experienced a slight increase during 2015–2016, a sharp decline during 2016–2017, and a continuous rise since year 2017. The Middle Yangtze River area was the best performer among the eight regions in terms of eco-efficiency, while the Southwest area was placed last. The global Malmquist–Luenberger productivity index showed an earlier increase and later decrease trend, which was quite consistent with the reality of the variation of inputs and outputs and the emergence of COVID-19. Moreover, the best practice gap change was found to be the main driven force of productivity. The empirical results verify the practicability of our measurement models and the conclusions can be adopted in guiding the formulation of corresponding policies and regulations.

Do women on boards enhance firm performance? Evidence from top Indian companies

This paper examines whether gender diversity (GD) on corporate boards influences financial performance (FP) of Indian firms using System Generalized Methods of Moments (GMM) methods by considering panel data of 364 firms during 2017 to 2021, comprising of 1820 firm-year observations. The study reveals that the mere presence of a woman director (WD) on boards makes no difference in financial performance. Presence of WDs as a significant portion of the boards and their active roles in the functioning and governance of companies positively contribute to firms' financial performances and economic value creation. Regarding other governance parameters, the study shows that larger boards do not necessarily improve firm performance. Also, independent directors do not necessarily add value to corporate performance and value creation. While a higher promoter's stake is an important factor for Indian companies to drive corporate performance, firms with separate CEO and chairperson outperform firms with CEO duality. The study also reveals that the covid 19 pandemic has negatively influenced the financial performance and economic profit generation of the Indian firms. This study is important for several reasons. First, this study considers the period (2017–2021) when Indian companies adopted new financial reporting practices (IND-AS) in line with International Financial Reporting System (IFRS), the mandatory quota system of women directors' appointment is implemented and new corporate governance norms are implemented. Hence, our study contributes to the literature by proving meaningful insights on the role of gender diversity and other corporate governance parameters on financial performance of Indian firms in the light of newly adopted accounting and financial reporting practices. Second, few previous India based studies have mostly used pooled OLS or fixed effect models, and did not address the endogeneity problem in different forms like Dynamic Endogeneity, Simultaneity, and Unobserved Heterogeneity. This paper addresses the endogeneity problem appropriately by using the system generalized method of moments (GMM) while modelling the relation between WDs and firms' FP. Therefore, the findings of this study are more reliable and unbiased and can be useful for effective policy making on gender diversity and corporate governance issues. Third, few prior studies which have looked into the role of WDs on FP of Indian firms, have mostly used return on assets (ROA), return on equity (ROE) and Tobin's Q as performance parameters. Here, in addition to ROA, ROE and Tobin's Q, we also use economic value added (EVA) as indicators of corporate performance to understand the role of WDs on economic value creation for companies. The EVA is considered as modern technique to measure the economic profit earned by a firm, and it has gained huge popularity among companies as an improved technique for measuring financial performance for companies. To the best of our knowledge, the role of WDs on economic value creation by firms has not been investigated before particularly in the Indian context. This is another unique contribution of this study. Fourth, the Covid 19 pandemic had impacted global economy severely and India was no exception. Financial performances of most Indian firms were negatively impacted due to the nationwide lockdown and uncertainties about production, revenue and earnings. This study considers both the pre and post Covid 19 pandemic period in examining our central research question using a year dummy. Therefore, our study also captures whether the covid 19 pandemic has actually impacted the financial performance of Indian firms, while modelling this relation. This is another valuable and unique contribution of this study to the literature. The findings of this study provide an understanding of how board gender diversity and other governance parameters influence financial performance of Indian firms in an emerging market context. The outcomes are also explained and aligned with the relevant policy implications in th light of recent Indian corporate governance norms and policies. These findings are useful to the companies and policymakers, as they can use these findings while designing effective boards, which can be useful in improving firm performance. Board of directors, investors, regulators, and policymakers can effectively use these findings to understand how gender diverse boards and other corporate governance parameters influence firms' financial performance under the concentrated ownership pattern.

Risk connectedness between crude oil, gold and exchange rates in China: Implications of the COVID-19 pandemic.

This study examined the risk connectedness and its asymmetry between oil, gold, and foreign exchange under the realized volatility, spillover index framework, and high-frequency data during the COVID-19 pandemic. It was found that: (1) At the beginning of the pandemic outbreak, the total volatility spillover in the system declined, which may indicate that the pandemic cuts the trading activities in the financial markets by inhibiting personnel mobility, then, the spillover experienced a short-term sharp rise due to panic. (2) The exchange rate had a significant risk connectedness with gold and international crude oil, but a restrict connectedness with domestic crude oil after the outbreak. These variations of risk transmission caused by the pandemic emerged later than the outbreak, reflecting a certain lag. (3) The impact of the pandemic on the asymmetric risk connectedness between oil, gold and the exchange rate was limited, and the risk transfer resulting from bad news was dominant during the sample period; however, gold was less affected by bad news than the oil and exchange rates. These findings suggested that the establishment of Chinese crude oil futures could restrain volatility spillovers from the exchange rate; the foreign exchange reserve structure should be optimized. Gold has been proved to have a hedging function with the crude oil, and its proportion in foreign exchange reserves should be appropriately increased.