Sectoral Comovement,Monetary Policy Shocks,and Input–Output Structure

The comovement of output across the sector producing nondurables (i.e., nondurable goods and services) and the sector producing durables is well established in the monetary business cycle literature. However, standard sticky‐price models that incorporate sectoral heterogeneity in price stickiness (i.e., sticky nondurables prices and flexible durables prices) cannot generate this feature. We argue that an input–output (I–O) structure provides a solution to this problem. Here, we develop a two‐sector model with an I–O structure, which is calibrated to the U.S. economy. In the model, each sector’s output affects those of the others by acting as an intermediate input. This connection between the sectors provides a channel through which sectoral comovement is induced.     

The drivers of cyber risk

Cyber incidents are becoming more sophisticated and their costs difficult to quantify. Using a unique database of cyber events across sectors in the US, we document the characteristics and drivers of cyber incidents. Cyber costs are higher for larger firms and for incidents that impact several organisations simultaneously. Events with malicious intent (i.e. cyber attacks) tend to be less costly, unless they are on the upper tail of the loss distribution. The financial sector is exposed to a larger number of cyber attacks but suffers lower costs, on average. The use of cloud services is associated with lower costs, especially when cyber incidents are relatively small. As cloud providers become systemically important, cloud dependence is likely to increase tail risks. Finally, we document that higher expenditure on IT is associated with future reduced costs from cyber incidents.     

Sustainable economic growth in the European Union: The role of ICT,venture capital,and innovation

Over the past 30 years, the economies in Europe have undergone major transformations that have been powered by diffusion of information and communication technology (ICT), intensification of innovation, and reforms in the financial sector to support innovative endeavors. The primary objective of this study was to examine the causal relationships among ICT diffusion, innovation diffusion, venture capital investment, and economic growth for 25 countries in Europe for the period from 1989 to 2016. Using a vector error‐correction model, the study examines the underlying short‐run and long‐run relationships for the above variables. The empirical analysis shows that in the long run, venture capital investment, ICT diffusion, and innovation diffusion have significant impacts on economic growth in Europe. However, in the short run, the direction of the causality varies depending on the specific measures of ICT diffusion and innovation diffusion that are utilized. Results from this study provide valuable insights into the types of policies that will contribute to sustainable economic growth in Europe.     

The Taylor Rule and Forecast Intervals for Exchange Rates

In this paper, we examine the Meese–Rogoff puzzle from a different perspective: out‐of‐sample interval forecasting. While most studies in the literature focus on point forecasts, we apply semiparametric interval forecasting to a group of exchange rate models. Forecast intervals for 10 OECD exchange rates are generated and the performance of the empirical exchange rate models are compared with the random walk. Our contribution is twofold. First, we find that in general, exchange rate models generate tighter forecast intervals than the random walk, given that their intervals cover out‐of‐sample exchange rate realizations equally well. Our results suggest a connection between exchange rates and economic fundamentals: economic variables contain information useful in forecasting distributions of exchange rates. We also find that the benchmark Taylor rule model performs better than the monetary, PPP and forward premium models, and its advantages are more pronounced at longer horizons. Second, the bootstrap inference framework proposed in this paper for forecast interval evaluation can be applied in a broader context, such as inflation forecasting.     

How information and communication technology affects decision‐making on innovation diffusion: An agent‐based modelling approach

We introduce a computational agent‐based model of innovation diffusion that allows us to analyse the influence of information and communication technology (ICT) development on decision‐making. Model dynamics are based on local emulation between pairs of individuals that generate an evolving social network on which an innovation is virally spread (by word of mouth). Results suggest that ICT development affects the data usefulness for decision‐making by changing the topology of the social network (the means whereby the innovation is propagated). Paradoxically, a higher level of ICT development (providing a larger volume of data) narrows the differences between better and worse launch strategies, thus reducing data‐driven decision‐making usefulness, which then shows diminishing returns on the ICT level.     

Asset Pricing and the Illiquidity Premium

In this paper, we examine the asset‐pricing role of liquidity (as proxied by share turnover) in the context of the Fama and French (1993) three‐factor model. Our analysis employs monthly Australian data, covering the sample period from 1990 to 1998. The key finding of our research is that the main test is unable to reject the test of over‐identifying restrictions, thus supporting the overall favorability of the liquidity‐augmented Fama–French model. In addition, we find that the asset‐pricing performance of the liquidity factor is generally very robust to a wide range of sensitivity checks.     

A practical road map for assessing cyber risk

The increase in interconnectivity and developments in technology have caused cyber security to become a universal concern. This paper highlights the dangers of the evolution of cyber risk, the challenges of quantifying the impact of cyber-attacks and the feasibility of the traditional actuarial methodologies for quantifying cyber losses. In this paper, we present a practical roadmap for assessing cyber risk, a roadmap that emphasizes the importance of developing a company and culture-specific risk and resilience model. We develop a structure for a Bayesian network to model the financial loss as a function of the key drivers of risk and resilience. We use qualitative scorecard assessment to determine the level of cyber risk exposure and evaluate the effectiveness of resilience efforts in the organization. We highlight the importance of capitalizing on the knowledge of experts within the organization and discuss methods for aggregating multiple assessments. From an enterprise risk management perspective, impact on value should be the primary concern of managers. This paper uses a value-centric/reputational approach to risk management rather than a regulatory/capital-centric approach to risk.     

Tangibility and investment irreversibility in asset pricing

Zhang (2005) and Cooper (2006) provide a theoretical risk‐based explanation for the value premium by suggesting a nexus between firms’ book‐to‐market ratio and investment irreversibility. They argue that unproductive physical capacity is costly in contracting conditions but provides growth opportunities during economic expansions, resulting in covariant risk between firms’ investment in tangible assets and market‐wide returns. This article uses the Australian accounting environment to empirically test this theory – a test that is not possible using US data. Consistent with the theoretical argument, tangibility is priced in equity returns, and augmenting the Fama and French three‐factor model with a tangibility factor increases model explanatory power.     

Anomalies and stock returns: Australian evidence

Prior research has identified the existence of several cross‐sectional patterns in equity returns, commonly referred to as effects. This paper tests for the existence of a number of well‐known effects using data from the Australian equities market. Specifically, we investigate the size effect, book‐to‐market effect, earnings‐to‐price effect, cashflow‐to‐price effect, leverage effect and the liquidity effect. An additional aim of this paper is to investigate the capability of the Fama–French model in explaining any observed effects. We document a size, book‐to‐market, earnings‐to‐price and cashflow‐to‐price effect but fail to find evidence of a leverage or liquidity effect. Although our findings indicate that the Fama–French model can partially explain some of the observed effects, we conclude that its performance is less than satisfactory in Australia.     

Changes in equity returns and volatility across different Australian industries following the recent terrorist attacks

We investigate the impact of five recent terrorist attacks on equities listed on the Australian Stock Exchange. Following the Global Industry Classification Standard, we analyse how these events affect the different sectors in Australia. Using parametric and non-parametric tests, we investigate the relationship between stock returns for equities listed in these sectors and terrorist attacks. We report significant short term negative abnormal returns around the September 11 attacks and to a lesser extent, the Madrid and London bombings. Our evidence shows a weak positive equity response to the Bali bombing, and no response from the Mumbai attack in the Australian market. We also document negative industry abnormal returns as high as 37.30% on the day in the Utilities sector. Our findings show that systematic risk of certain sectors increased after the events of September 11 but remained unchanged for the other attacks.     

Macroeconomic impact of the Sino–U.S. trade frictions: Based on a two-country,two-sector DSGE model

To examine the impact of the recent Sino–U.S. trade frictions on the macroeconomics of China and the United States, we constructed a two-country, two-sector dynamic stochastic general equilibrium model. This model was used to explore the tariff transmission mechanism in such trade frictions and provide a basic analytical framework for future research on bilateral trade frictions. Based on our benchmark analysis, the tariff shocks affect non-tradable sectors through the tradable sectors, which, in turn, have impacted consumption, investments, prices, and production. Specifically, the tariffs on intermediate and final goods affect the economy from the supply and demand sides, respectively, and as the trade dependence decreases, the economic volatility caused by the tariff shocks also decreases. Moreover, our simulation showed that the impact of the trade frictions on the macroeconomics of the two countries has been asymmetrical, which is consistent with the objective economic realities.     

Constructing and Testing Alternative Versions of the Fama–French and Carhart Models in the UK

This paper constructs and tests alternative versions of the Fama–French and Carhart models for the UK market with the purpose of providing guidance for researchers interested in asset pricing and event studies. We conduct a comprehensive analysis of such models, forming risk factors using approaches advanced in the recent literature including value‐weighted factor components and various decompositions of the risk factors. We also test whether such factor models can at least explain the returns of large firms. We find that versions of the four‐factor model using decomposed and value‐weighted factor components are able to explain the cross‐section of returns in large firms or in portfolios without extreme momentum exposures. However, we do not find that risk factors are consistently and reliably priced.     

Financial crisis,Omori's law,and negative entropy flow

The 2008 global financial crisis has revived great interest in early warning system (EWS) models for reducing the risks of future crises. Existing EWS models employ aggregated variables that cannot examine the nonlinear dynamics of participating players on scales smaller than a country in unstable, non-equilibrium economies. To help understand the mechanism of financial crises and identify new robust indicators for financial crises and economic recessions, in this work, we take an “anatomical” approach, i.e., to examine the income structures of different sectors of an economy separately, as well as to analyze the exposure networks associated with Fannie Mae/Freddie Mac, Lehman Brothers, and American International Group. We show that the losses in exposure networks can be modeled by a two-parameter Omori-law-like distribution for earthquake aftershocks. Such a distribution suggests that losses will be widespread around crises or recessions. Indeed, around crises or recessions, the heavy-tailed distributions for the negative income cluster are even heavier than those for the positive income cluster. Consequently, the entropies associated with the distribution of the negative income cluster exceed that of the positive income cluster. Moreover, instability propagates from the crisis initiating sector to other sectors. Therefore, the anatomical approach developed here can indeed shed some light on the detailed dynamics of financial crises and economic recessions, and the distribution and entropy approaches can help predict economic downturns.     

数字经济时代网络安全保险创新发展研究

中国数字经济发展日新月异,在其快速发展中也暴露出各种网络安全风险。网络风险呈现出频繁性、隐蔽性以及高度破坏性特点,给数字经济发展带来了巨大隐患。国家"十四五"规划纲要中明确提出,将网络安全列为营造良好数字经济生态的重要一环。本文分析了数字经济时代的网络安全风险、网络安全保险的发展现状,以及中国网络安全保险市场的发展机遇、存在的问题,挖掘了国外网络安全保险的先进发展经验,并从保险公司、网络安全企业以及政府监管部门三方面,提出了网络安全保险创新发展的政策建议,以期化解网络安全保险风险,促进我国数字经济的良性发展。     

对经济发展过程的若干逻辑观察

本文借助于不变工资模型和递增工资模型,以农业劳动力向现代部门转移为视角,从逻辑上考察了从前资本主义经济向现代经济转变的经济发展过程,并用劳动平均生产率高于工资、边际生产率低于工资对经济发展过程做出严格定义,并说明在经济发展过程中,劳动边际生产率将比平均生产率提高得更快,劳动产量弹性上升,同时农业劳动生产率将比现代部门提高得更快。     

Can Industrial Restructuring Significantly Reduce Energy Consumption? Evidence from China

This article uses China’s input–output (I-O) tables in 2002, 2007, and 2012 to estimate the real energy consumption of each sector after the I-O adjustment. The relationship between the sectors is further analyzed using the utility analysis method based on ecological network analysis. The empirical results show that although the traditional energy-intensive industries are the major energy-consuming sectors from a direct energy consumption perspective, large energy consumption by energy-intensive industries is transferred to downstream industries through intermediate products after the I-O adjustment. Specifically, the building industry and service sector are the sectors with the highest real energy consumption. With the upgrading and optimization of the industrial structure, the proportion of energy-intensive sectors in China is declining. However, the development of the service sector and infrastructure construction still requires large intermediate inputs. Thus, industrial restructuring cannot significantly reduce China’s total energy consumption.     

How Efficient Is China’s Heavy Industry? A Perspective of Input–Output Analysis

Heavy industry accounts for nearly 65% of the energy consumption and over 60% of the electricity consumption of China. Under the framework of real savings and green GDP, the huge energy consumption and carbon emissions will bring in huge natural resource losses, and then affect the total factor productivity (TFP) seriously. When taking the input–output relationship into consideration, the natural resource losses of heavy industry will decrease significantly. As the upstream of the industrial chain, heavy industry offered a large number of subsidies to the downstream industries by providing energy, raw materials, and taking on carbon emissions. This article verified the transfer of natural resource losses among industries, and estimated the real TFP of heavy industry from input–output and traditional perspective, respectively. The results showed that there was an increasing trend in the growth rate of heavy industry’s TFP in the perspective of input–output.     

Fiscal Consequences of Paying Interest on Reserves

We review the role of the central bank's balance sheet in a textbook monetary model and explore what changes if the central bank is allowed to pay interest on its liabilities. When the central bank (CB) cannot pay interest, away from the zero lower bound its (real) balance sheet is limited by the demand for money. Furthermore, if securities are not marked to market and the central bank holds its bonds to maturity, it is impossible for the CB to make losses, and it always obtains profits from being a monopoly provider of money. When the option of paying interest on liabilities is allowed, the limit on the CB's balance sheet is lifted. In this case, the CB is free to take on interest‐rate risk – for example, by buying long‐term securities and financing those purchases with short‐term debt that pays the market interest rate. This is a risky enterprise that can lead to additional profits but also to losses. To the extent that losses exceed the profits of the monopoly operations, the CB faces two options: either it is recapitalised by Treasury or it increases its monopoly profits by raising the inflation tax.     

Audit Quality and the Market Valuation of Banks’ Allowance for Loan Losses*

The recent banking crisis has led market participants to focus on the adequacy and quality of banks’ balance sheet items such as the allowance for loan losses. Beaver and Engel (1996) document that the capital market prices the nondiscretionary component of loan loss allowance negatively and the discretionary component less negatively. Using data from the pre‐crisis period and three measures of audit quality, auditor type (i.e., Big 5 versus non–Big 5), auditor industry specialization/expertise, and audit and nonaudit fees paid to auditors, we examine the effect of audit quality on the market valuation of the discretionary component of the allowance for loan losses. We find that, relative to the nondiscretionary component, the market valuation of the discretionary component of loan loss allowance is higher for banks audited by Big 5 auditors than for banks audited by non–Big 5 auditors. We also find that the relative market valuation of the discretionary component of loan loss allowance is increasing in auditor expertise. Regarding the impact of fees paid to auditors, we find that banks paying higher audit fees have higher relative market valuation of the discretionary component of the allowance for loan losses, but banks that pay higher nonaudit fees do not.     

Valuing Loss Firms: What Can Be Learned From Analysts' Forecasts?

Prior research documents an anomalous negative price–earnings relation when a simple earnings capitalization model is estimated for loss‐making firms. Collins et al. (1999 ) suggest that the model is misspecified due to the omission of book value of equity. However, results from previous studies are confusing. We try to enrich prior literature by focusing on analysts' forecasts. In particular, we assess the role of earnings and book value in valuing loss firms using several measures based on the information provided by analysts. We hypothesize that the role of accounting figures depends on whether the loss firm is supported or not by investors. According to this argument, we construct several measures of investor support based on analysts' forecasts, and then test the value relevance of accounting information depending on the degree of support. Our results confirm the usefulness of the notion of ‘investor support’. For those loss firms that are expected to liquidate, we find that the inclusion of book value of equity in the model removes the negative sign on the earnings coefficient. However, for those loss firms that are expected to reverse current losses, we find that the coefficient on earnings remains negative despite the inclusion of book value.