The impact of the COVID-19 pandemic on business expectations

We document and evaluate how businesses are reacting to the COVID-19 crisis through August 2020. First, on net, firms see the shock (thus far) largely as a demand rather than supply shock. A greater share of firms report significant or severe disruptions to sales activity than to supply chains. We compare these measures of disruption to their expected changes in selling prices and find that, even for firms that report supply chain disruptions, they expect to lower near-term selling prices on average. We also show that firms are engaging in wage cuts and expect to trim wages further before the end of 2020. These cuts stem from firms that have been disproportionally negatively impacted by the pandemic. Second, firms (like professional forecasters) have responded to the COVID-19 pandemic by lowering their one-year-ahead inflation expectations. These responses stand in stark contrast to that of household inflation expectations (as measured by the University of Michigan or the New York Fed). Indeed, firms’ one-year-ahead inflation expectations fell precipitously (to a series low) following the onset of the pandemic, while household measures of inflation expectations jumped markedly. Third, despite the dramatic decline in firms’ near-term inflation expectations, their longer-run inflation expectations have remained relatively stable.     

Foreign investment regulation and firm productivity: Granular evidence from Indonesia

When regulating foreign direct investment (FDI), countries often face a trade-off between pursuing national policy interests and suffering efficiency losses due to FDI restrictions. We demonstrate the presence of this trade-off in the case of a protectionist FDI policy in Indonesia. Using a yearly census of Indonesian manufacturing firms from 2000 to 2015, we link product-level changes in binding FDI regulation due to major regulatory tightening to changes in firm-level productivity. Controlling for an extensive set of fixed effects as well as potential political economy drivers of regulation, we show that a tightening of the regulatory environment was successful in reducing foreign capital reliance among regulated firms, and led to increases in FDI among non-regulated firms producing the same product. Despite compensating increases in domestic capital, regulated firms experienced relative productivity losses. This points towards either a less efficient allocation of domestic capital or a general inferiority of domestic capital as compared to foreign investments.     

Unfolding China’s state-owned corporate empires and mitigating agency hazards: Effects of foreign investments and innovativeness

Integrating agency and institutional perspectives, we describe how China’s socio-political institutions create state-owned corporate empires with unique agency conflicts. We develop a framework demonstrating how economically unjustified firm expansion, i.e. empire building, mediates the relationship between state ownership and performance. We uncover the instrument in empire building and appropriate corporate governance and strategic management remedies. An empirical study on 29,638 Chinese firms evidences that (1) increased state ownership drives higher management expenses and lower firm profitability though empire building; (2) long-term debt is used to finance empire building; and (3) foreign capital investments and innovativeness can mitigate these agency conflicts.     

Extreme risk spillovers between crude palm oil prices and exchange rates

This study is the first attempt to examine the extreme risk spillovers between Malaysian crude palm oil (CPO) and foreign exchange currencies of the three largest CPO importers: India, the European Union and China throughout the global financial crisis. Using daily data of three currencies, CPO spot and futures from 2000 to 2018, our results show: First, before the crisis, the unexpected change in foreign exchange rates is the primary driver of risk spillover to the CPO market. Second, during the crisis, the extreme movement of CPO spot returns is dominant in the Malaysian exchange rates relative to the euro. Third, after the crisis, the spillover flows from the CPO market to the foreign exchange market. Overall, our findings show the importance of CPO pricing dynamics in mitigating foreign exchange risk over the crisis period. This paper contributes to the extant literature by recognizing the effect of risk spillover on the targeted foreign exchange rate for portfolio allocation.     

Economic freedom and bilateral direct investment

Economic freedom (freedom from the intervention of government) is essential for doing business, so economic freedom of both the home country and the host country are important for bilateral foreign direct investment. However, though some literature has investigated the role of host country's economic freedom in bilateral direct investment, no literature has studied the role of home country's economic freedom. This paper has studied this issue in a gravity model with a sample of 155 countries. This paper has also employed some effective estimation techniques of gravity model to incorporate the zero observations and adopted quantile regression method. The findings indicate that economic freedom of both the home country and the host country are positively correlated with bilateral direct investment, and the economic freedom of home country has even stronger explanatory power for foreign direct investment. Hence, promoting the economic freedom may encourage more outward foreign direct investment than inward direct investment.     

Long-term forecasting of fuel demand at theater entry points

Managing the distribution of fuel in theater requires Army fuel planners to forecast demand at the strategic level to ensure that fuel will be in the right place, at the right time, and in the amounts needed. This work presents a simulation approach to forecasting that accounts for the structure of the supply chain network when aggregating the demand of war fighters across the theater over the forecasting horizon. The resulting empirical distribution of demand at the theater entry point enables planners to identify forecast characteristics that impact their planning process, including the amplitudes and temporal positions of peaks in demand, and the estimated lead time to the point of use. Experimentation indicates that the forecasts are sensitive to the pattern of war fighter demand, the precise structure of the in-theater supply chain network, and the constraints and uncertainty present in the network, all of which are critical planning considerations.     

我国出口汇率传递的非对称性:来自中日贸易的证据

文章扩展了Yang（2007）的厂商定价模型，对汇率传递非对称性、特点和成立条件进行理论分析，发现对称传递需要满足严格的条件，而现实中更常见的是非对称汇率传递。在一定条件下，商品需求弹性越大，越可能呈现出口国货币贬值传递率高而升值传递率低的特点。利用2000年1月至2011年12月我国出口日本的966种商品价格数据，发现汇率波动向价格传递具有非对称性：（1）人民币升值时，日元价格上涨较少；而贬值时，价格下降较多。我国出口商品的需求弹性较大，在日本市场上面对的是一个强竞争结构。（2）若月度升值超过一定幅度（测算约为2.43%），传递率又会有所上升，说明尽管日元价格易跌难涨，但在升值导致成本上涨较多、明显挤压利润时，厂商不得不适当提高日元售价。采用2000年至2018年9月日本从中国进口单位价值指数进行稳健性检验，得出类似结论。现阶段稳定的人民币名义汇率对我国出口企业是更为有利的。     

A hybrid machine learning model for forecasting a billing period’s peak electric load days

Many models have been studied for forecasting the peak electric load, but studies focusing on forecasting peak electric load days for a billing period are scarce. This focus is highly relevant to consumers, as their electricity costs are determined based not only on total consumption, but also on the peak load required during a period. Forecasting these peak days accurately allows demand response actions to be planned and executed efficiently in order to mitigate these peaks and their associated costs. We propose a hybrid model based on ARIMA, logistic regression and artificial neural networks models. This hybrid model evaluates the individual results of these statistical and machine learning models in order to forecast whether a given day will be a peak load day for the billing period. The proposed model predicted 70% (40/57) of actual peak load days accurately and revealed potential savings of approximately USD $80,000 for an American university during a one-year testing period.     

M5 competition uncertainty: Overdispersion,distributional forecasting,GAMLSS, and beyond

The M5 competition uncertainty track aims for probabilistic forecasting of sales of thousands of Walmart retail goods. We show that the M5 competition data face strong overdispersion and sporadic demand, especially zero demand. We discuss modeling issues concerning adequate probabilistic forecasting of such count data processes. Unfortunately, the majority of popular prediction methods used in the M5 competition (e.g. lightgbm and xgboost GBMs) fail to address the data characteristics, due to the considered objective functions. Distributional forecasting provides a suitable modeling approach to overcome those problems. The GAMLSS framework allows for flexible probabilistic forecasting using low-dimensional distributions. We illustrate how the GAMLSS approach can be applied to M5 competition data by modeling the location and scale parameters of various distributions, e.g. the negative binomial distribution. Finally, we discuss software packages for distributional modeling and their drawbacks, like the R package gamlss with its package extensions, and (deep) distributional forecasting libraries such as TensorFlow Probability.     

庚子赔款的债务化偿付及其影响

庚子赔款是中国近代史上最大一笔赔款,也是以长期债务形式体现的赔款。本文对庚子赔款的债务化偿付安排、利率水平、支付流程及经济影响等进行比较分析。发现:(1)庚子赔款本金4.5亿两,是清政府 1903 年财政收入的 4.33倍,但通过债务化偿付,每年支付赔款占财政收入比重逐步下降;(2)按购买力折算,庚子赔款本金约占1900年中国GDP的2.1%;(3)与当时主要国家长期债务利率相比,庚子赔款4%的利率属于中等水平;(4)将庚子赔款与德国“一战”赔款进行比较,发现赔款本金和占经济总量比重,中国低于德国,但中国每年支付赔款的财政压力高于德国;(5)庚子赔款偿付对近代中国的财税金融产生深刻影响,外籍海关税务司借机成为独立于中国政府的“第二财政”,外商银行藉此强化其“隐性中央银行” 地位,赔款还催生了货币流通的“新周期” 和“新危机”。总体上,赔款的债务化偿付安排不仅受政治外交形势主导,也与金融机构特别是银行跨国经营存在密切联系。赔款的经济影响不仅取决于偿付总量,也取决于经济治理能力和财税金融制度。国家财税金融制度落后,则受到冲击较大。