Asymmetric volatility spillover among Chinese sectors during COVID-19

Inter-sectoral volatility linkages in the Chinese stock market are understudied, especially asymmetries in realized volatility connectedness, accounting for the catastrophic event associated with the COVID-19 outbreak. In this paper, we examine the asymmetric volatility spillover among Chinese stock market sectors during the COVID-19 pandemic using 1-min data from January 2, 2019 to September 30, 2020. In doing so, we build networks of generalized forecast error variances by decomposition of a vector autoregressive model, controlling for overall market movements. Our results show evidence of the asymmetric impact of good and bad volatilities, which are found to be time-varying and substantially intense during the COVID-19 period. Notably, bad volatility spillover shocks dominate good volatility spillover shocks. The findings are useful for Chinese investors and portfolio managers constructing risk hedging portfolios across sectors and for Chinese policymakers monitoring and crafting stimulating policies for the stock market at the sectoral level.     

Herding and excessive risk in the American stock market: A sectoral analysis

This paper aims to test whether herding behavior is a driving force of excessive market volatility and increasing bubbles in the US stock market at a sectoral level. Trading volume turnover and investors’ sentiment are ubiquitous factors besides market return to fuel herding movement in most sectors. Our sample covers all listed companies in the American stock market over four major turmoil periods. Granger causality test shows that herding is a vital ingredient to increasing bubbles in some sectors, but not all. Moreover, herding and trading volume have an inhibiting effect on both overall and in-sector market volatility in large markets, as opposed to concentrated markets commonly studied in the literature.     

Financial Development and Intersectoral Allocation: A New Approach

This paper uses a new methodology based on industry comovement to examine the role of financial market development in intersectoral allocation. Based on the assumption that there exist common global shocks to growth opportunities, we hypothesize that country pairs should have correlated patterns of sectoral growth if they are able to respond to these shocks. Consistent with financial markets promoting responsiveness to shocks, countries have more highly correlated growth rates across sectors when both countries have well‐developed financial markets. This effect is stronger between country pairs at similar levels of economic development, which are more likely to experience similar growth shocks.     

中国经济增长的模式、结构与效率

二元结构条件下的中国经济具有类似AK模型的内生增长特征,在非边际收益递减的投资驱动下进行持久的资本深化。由于经济增长速度部门分布的离散性是与总体经济增长速度正向相关的,中国经济的高速增长必然伴随着各经济部门的非平衡增长。同时,中国经济增长的能源效率显著改进,其服务业与非服务业的生产过程在能源使用密集方面是无差异的。     

Intermediate inputs and sectoral comovement in the business cycle

The post-war US business cycle is characterized by positive comovement of employment and output across sectors. It has been argued that multi-sector growth models are inconsistent with this observation when changes in relative productivities are the main source of fluctuations. We suggest that the input-output structure of an economy, in particular the pervasive use of intermediate inputs, can induce positive comovement in sectoral employment and output following changes in relative productivities. We calibrate a model of the US economy for the durable and nondurable goods producing sectors, and show that sectoral employment and output move together if intermediate inputs are used in production. The model is also consistent with the observation that the relative price of nondurable goods is procyclical.     

PRODUCER TURNOVER AND PRODUCTIVITY GROWTH IN DEVELOPING COUNTRIES

The reallocation of resources, either across sectors or acrossproducers within a sector, can serve as a potential source ofproductivity growth. New research findings exploit comprehensivemicroeconomic data on the manufacturing sectors of Chile, Colombia,and Morocco to document resource shifts as producers enter,expand, contract, and exit operation. The micro-level adjustmentis substantial; between 25 and 30 percent of the total numberof manufacturing jobs turn over each year. In the short run,the productivity effects of this turnover are modest becausethe new plants that come on line are only slightly more productivethan the ones they replace—and both are typically small.In the longer term, however, the turnover generates more substantialincreases in productivity because the new firms that surviverecord substantial productivity gains in their early years.Moreover, firms that exit are typically on a downward productivityspiral and would probably have dragged down sectoral efficiencyfarther if they had continued in operation.      

The evolution of comparative advantage: Measurement and welfare implications

Using novel estimates of sectoral total factor productivities for 72 countries across 5 decades we provide evidence of relative productivity convergence: productivity grew systematically faster in initially relatively less productive sectors. These changes have had a significant impact on trade volumes and patterns, and a non-negligible welfare impact. Had productivity in each country׳s manufacturing sector relative to the US remained the same as in the 1960s, trade volumes would be higher, cross-country export patterns more dissimilar, and intra-industry trade lower than in the data. Relative sectoral productivity convergence – holding average growth fixed – had a modest negative welfare impact.     

Sectoral analysis of foreign direct investment and growth in the developed countries

Empirical studies on foreign direct investment (FDI) and growth in developed countries have yielded conflicting results using cross-country regressions. We use sectoral data for a group of six country members of the OECD. Our paper is the first to identify the sector-specific impact of FDI on growth in the developed countries. Our results show that FDI has positive, or no statistically discernible, effect on economic growth directly and through its interaction with labor. Moreover, we find the effects seem to be very different across countries and economic sectors.     

Banking market structure,liquidity needs,and industrial growth volatility

While the existing literature acknowledges the effect of banking structure on industrial growth as well as the effect of financial development on industrial growth and its volatility, we examine whether banking structure, given financial development, exerts any nontrivial effect on industrial growth volatility. We show that bank concentration magnifies industrial growth volatility, but reduces the volatility in sectors with higher external liquidity needs. The reduction in industrial growth volatility mostly reflects the smoothing in the volatility of real value added per firm growth. A variety of sensitivity checks show that our findings remain for different model specifications, banking market structure measures, liquidity need indicators, and omitted variables.     

Impact of fiscal stimulus on volatility: A cross-country analysis

This study investigates the short-to-medium-term impact of Covid-19-related fiscal stimulus relief packages on reducing investor uncertainty expectations in eight major economies. We use three measures of volatility to assess investor uncertainty: implied volatility, volatility index, and realized kernel volatility of ETFs in each country. The data covers a three-year period from January 2019 to December 2021. Our findings indicate an increase in all three measures of volatility in the post-Covid to pre-stimulus period, which decreases after the announcement of the stimulus packages. The results show that, on average, the stimulus announcements alleviate investor uncertainty and facilitate economic recovery. However, the effectiveness of the stimulus packages varies across countries but not across sectors. Our results remain robust to several checks, including alternate econometric specifications, such as the Arellano-Blundell-Bond estimation for dynamic panel data.     

A theory of growth and volatility at the aggregate and firm level

We present an endogenous growth model that explains the evolution of the first and second moments of productivity growth at the aggregate and firm level during the post-war period. Growth is driven by the development of both (i) idiosyncratic R&D innovations and (ii) general innovations that can be freely adopted by many firms. Firm-level volatility is affected primarily by the Schumpeterian dynamics associated with the development of R&D innovations. The variance of aggregate productivity growth is driven by the arrival rate of general innovations. Ceteris paribus, the share of resources spent on development of general innovations increases with the stability of the market share of the industry leader. As market shares become less persistent, the model predicts an endogenous shift in the allocation of resources from the development of general innovations to the development of R&D innovations. This results in an increase in R&D, an increase in firm-level volatility, and a decline in aggregate volatility. The effect on productivity growth is ambiguous.On the empirical side, this paper presents new cross-country evidence that R&D subsidies are not significantly associated with higher growth but are associated with lower aggregate volatility. It also documents an upward trend in the instability of market shares, a positive association between firm volatility and R&D spending, and a negative association across sectors between R&D and how correlated the sector is with the rest of the economy.     

Price Setting in the Euro Area: Some Stylized Facts from Individual Producer Price Data

This paper summarizes the microevidence on the setting of producer prices in the euro area. The main findings are: (i) 21% of producer prices are adjusted each month, (ii) producer prices are changed more frequently and by smaller amounts than consumer prices (even after controlling for product characteristics), (iii) price decreases are relatively frequent, (iv) inflation correlates positively with the difference between the frequency of price increases and decreases, and (v) there is substantial variation in price flexibility across sectors, which can be explained in part by differences in the cost structure, the degree of competition, and the level of sectoral inflation.     

Sectoral Phillips curves and the aggregate Phillips curve

Sector-level Phillips curves are estimated in French data. There is considerable heterogeneity across sectors, with vastly different estimates of the backward looking component of inflation and the duration of nominal rigidities. A multi-sector model of inflation dynamics is calibrated on the basis of these sectoral estimates. Aggregate inflation, simulated on the basis of heterogeneous sectors, displays comparable dynamics to actual data. A comparison is drawn between the policy trade-offs implied by a Phillips curve based on macroeconomic estimates vs. one based on a model with heterogeneous sectors. The difference is sizeable.     

The cooperative bank difference before and after the global financial crisis

We compare characteristics of the banks' specialization (cooperative versus non-cooperative) at the world level in a time spell including the global financial crisis. Cooperative banks display higher net loans/total assets ratios, lower shares of derivatives over total assets and lower earning volatility than commercial banks. With a diff-in-diff approach we test whether the global financial crisis produced convergence/divergence in these indicators. We finally document that, in a conditional convergence specification, the net loans/total assets ratio is positively and significantly correlated with value added growth in some manufacturing sectors but not in others.     

Trade and Growth in the New Member States: The Role of Global Value Chains

We analyze the determinants of value-added and productivity growth of New Member States in the period between 1995 and 2009. We show that in the analyzed countries, exports contributed to roughly 30% to over 40% of the overall growth of GDP while the contribution of the domestic component varied from negative to over 60%. We show that in the most important export manufacturing industries of the NMS, the growth in exported value added was substantial, while the growth of the domestic component of GDP was mostly due to the growth in services. We associate growth of sectoral productivity with the foreign direct investment and exporting but, more importantly, with the position of a sector/country in the global value chains. We show that sectors that have imported intermediate goods have experienced higher productivity growth. Moreover, faster productivity growth was found in sectors further away from the final demand and in sectors exporting intermediate goods.     

Bilateral Export Trade,Outward and Inward FDI: A Dynamic Gravity Model Approach Using Sectoral Data from Malaysia

In light of a change in the foreign direct investment (FDI) landscape such as the rapid growth of outward FDI from Malaysia since 2007, this article ascertains the possible impact of inward and outward FDI on Malaysia’s bilateral export trade at the sectoral level, using a dynamic gravity approach. The findings reveal that both inward and outward FDI are complementary to bilateral export trade in the services, mining, and manufacturing sectors. Furthermore, the distance elasticity and the real effective exchange rate have a different negative impact on different sectors. Overall, the sectoral bilateral exports could not insulate against external events.     

The global rise of corporate saving

The sectoral composition of global saving changed dramatically during the last three decades. Whereas in the early 1980s most of global investment was funded by household saving, nowadays nearly two-thirds of global investment is funded by corporate saving. This shift in the sectoral composition of saving was not accompanied by changes in the sectoral composition of investment, implying an improvement in the corporate net lending position. We characterize the behavior of corporate saving using both national income accounts and firm-level data and clarify its relationship with the global decline in labor share, the accumulation of corporate cash stocks, and the greater propensity for equity buybacks. We develop a general equilibrium model with product and capital market imperfections to explore quantitatively the determination of the flow of funds across sectors. Changes including declines in the real interest rate, the price of investment, and corporate income taxes generate increases in corporate profits and shifts in the supply of sectoral saving that are of similar magnitude to those observed in the data.     

Understanding Bank and Nonbank Credit Cycles: A Structural Exploration

We explore the structural drivers of bank and nonbank credit cycles using a medium-scale dynamic stochastic general equilibrium (DSGE) model with two types of financial intermediation. We posit economywide and sectoral disturbances in both macro and financial sectors. We estimate that sectoral shocks to the balance sheets of entrepreneurs are important for fluctuations in bank and nonbank credit growth at the business cycle frequency. Economywide entrepreneurial risk shocks gain predominance for explaining the lower frequency comovement between the two series. Macro shocks play very little role in explaining financial cycles.     

Sectoral price data and models of price setting

In the median sector, 100 percent of the long-run response of the sectoral price index to a sector-specific shock occurs in the month of the shock. The standard Calvo model and the standard sticky-information model can match this finding only under extreme assumptions concerning the profit-maximizing price. The rational-inattention model of Ma?kowiak and Wiederholt [2009a. Optimal sticky prices under rational inattention. American Economic Review 99, 769–803] can match this finding without an extreme assumption concerning the profit-maximizing price. Furthermore, there is little variation across sectors in the speed of response of sectoral price indexes to sector-specific shocks. The rational-inattention model matches this finding, while the Calvo model predicts too much cross-sectional variation.     

The Determinants of Stock Price Exposure: Financial Engineering and the Gold Mining Industry

This paper studies the exposure of North American gold mining firms to changes in the price of gold. The average mining stock moves 2 percent for each 1 percent change in gold prices, but exposures vary considerably over time and across firms. As predicted by valuation models, gold firm exposures are significantly negatively related to the firm's hedging and diversification activities and to gold prices and gold return volatility, and are positively related to firm leverage. Simple discounted cash flow models produce useful exposure predictions but they systematically overestimate exposures, possibly due to their failure to reflect managerial flexibility.