Exchange rate sensitivity of commodity flows between the Philippines and the US

Previous studies that tried to assess the impact of exchange rate changes on the inpayments and outpayments of a country used aggregate trade flows between two countries. They are said to suffer from aggregation bias, and disaggregation by industry is recommended. In this paper, we consider response to exchange rate changes of export earnings (inpayments) of 133 industries that export from the US to the Philippines (Philippines’ importing industries) and outpayments of 65 US industries (Philippines exporting industries) that import from the Philippines using annual data over the period 1973–2012. While in most industries exchange rate changes had significant effects in the short run, the short-run effects did not last into the long run in most industries. Economic activity played more role in the long run than the exchange rate.     

The Effects of Central Banks’ Rate Change Patterns on Financial Market Variables

This study examines whether different patterns of change to the benchmark interest rates of central banks are associated with their contributions to variances in the forecast errors of three financial market variables: the long-term interest rate, the foreign exchange rate, and the stock market index. On average, the central bank’s interest rate accounts for approximately 20% of the variance in each variable. We find that the total range of changes is more important than the frequency of changes. The panel regression shows that the range and frequency of policy rate changes is positively associated with the volatility of long-term interest rates but no association with the volatility of stock prices and exchange rates. These results suggest that small and frequent adjustments of policy rates are desirable for reducing the volatility of interest rates. The panel VAR represents interest rate channel is a more important than exchange rate and stock price channel.     

Industry‐specific Exchange Rate Fluctuations,Japanese Exports and Financial Constraints: Evidence from Panel Vector Autoregressive Analysis

Using a panel vector autoregression approach and industry breakdown data for financial constraints obtained from the Bank of Japan's Tankan (Short‐Term Economic Survey of Enterprises in Japan) database, this study empirically investigates whether and how Japanese firms' financial constraints (internal and external) influence the response of Japanese sectoral exports to an exchange rate shock. Furthermore, we use the industry‐specific real effective exchange rate data developed by to allow for different movements of real effective exchange rates across industries. It is found that financial constraints have a significant influence on Japanese exports in response to exchange rate shocks. Japanese exporters with either lower internal financial constraints or external financial constraints are less affected by the yen's appreciation. In addition, if firms face high external financial constraints, only reducing the internal financial constraints cannot help them mitigate the impact of the yen's appreciation on their exports. Thus, an accommodative financial environment also plays an important role in alleviating the impact that the yen's appreciation has on Japanese exports.     

基于空间视角下的高管团队稳定性与企业技术创新

基于企业技术创新存在空间效应,使用传统的多元线性回归模型进行实证研究可能会存在有偏估计,本文以我国2004-2016 年沪深两市A 股上市公司为研究样本,通过构建绝对地理距离和相对时间距离的空间权重矩阵,运用空间计量分析技术,实证考察了高管团队稳定性与空间关联对企业技术创新绩效的影响。研究发现,一方面,高管团队稳定性越强的企业在技术创新绩效方面越好。另一方面,高管团队稳定性与技术创新绩效存在区域内的空间溢出效应,同一地区的高管团队稳定性对本地区的技术创新绩效有显著的提升作用,本地区的高管团队稳定性受到相邻地区高管团队稳定性的影响,而高铁的开通使得该空间效应更为显著,即使绝对距离较远的地区也能对本地区高管团队稳定性产生空间作用。本文的研究结果对全面认识高管团队稳定性的重要性,促进地方企业技术创新具有重要的政策含义。     

基于剩余评价期的经济评价方法研究及在长输管道中的应用

针对传统的内部收益率存在参数条件变化需要对数据进行还原调整,且历史数据缺失时无法使用,或企业管理者不注重历史收益状况的情况,提出了基于管道项目剩余评价期的内部收益率指标,并结合油气长输管道运营实际,分别构建了运营期现金流量均衡、非均衡两种情形下的评价模型,计算分析了不同剩余评价期内部收益率与全评价期基准收益率的对应关系。最后针对某管道企业的3条管道进行了实例测算,对测算结果进行分析和评价。     

Central Bank Policy Paths and Market Forward Rates: A Simple Model

Increasingly many central banks announce likely paths for future policy rates. Recent experience suggests that market forward rates can differ substantially from those announced. Models commonly adopted in policy analysis ignore such differences. This paper studies a simple model that can capture deviations between announced paths and market forward rates. We detail the macroeconomic transmission of such deviations and show how the model can inform policy deliberations.     

Capital expenditures and firm performance: evidence from a cross‐sectional analysis of stock returns

Using a simple two‐period model of investment, we show that there should be a nonlinear relation between a firm's investment‐to‐capital ratio and its subsequent stock returns. This prediction finds substantial empirical support. The evidence indicates that the slope of the investment function is negative at low investment levels, close to zero at intermediate investment levels and negative at high investment levels. Our results, which are robust to the use of narrowly‐ and broadly‐defined measures of capital investment, pose a challenge to the hypothesis that the negative cross‐sectional correlation between investment and stock returns is attributable to some sort of overinvestment phenomenon.     

财政赤字、铸币收入与通货膨胀

当政府出现较严重的财政赤字时,增收铸币税具有重要意义。在面临通货膨胀威胁时,必须适当放慢货币供应速度,减少铸币收入。理论证明,在通货膨胀严重时期,减少铸币税可以有效缓解通货膨胀。     

电力市场效率评估与碳市场价格设计——基于电碳市场关联视角下的传导率估计

厘清并量化电力市场与碳市场间的关联关系,是深化电力市场改革与实现"双碳"目标的重要抓手。本文基于2006—2018年中国100个地级及以上城市的面板数据,使用似不相关回归模型评估了电力市场效率,在此基础上研究了电、碳市场关联条件下碳价对电价的传导率,并对不同场景下全国碳市场的碳价进行了优化设计。研究发现:(1)与非试点地区相比,碳市场试点地区中电力市场的无谓损失率更低,并且市场效率的提高具有更高的碳减排作用。(2)电、碳市场关联条件下,碳价对电力市场中居民电价的传导率高于对工业电价的传导率,但均远低于完全竞争条件下的传导率水平。(3)传导率的提升能够缓解"降电价"与"碳减排"之间的矛盾。当前传导率下电力市场效率目标与碳减排目标的协同实现需要碳价的大幅提升,而在完全传导的理想情况下最优碳价约为40元/吨。(4)长期而言,当前传导率下碳排放总量下降场景、经济增速放缓场景对应的最优碳价分别为255.05元/吨、173.63元/吨,而人口老龄化场景并未对最优碳价的设置形成约束。本文的研究不仅为电力市场与碳市场之间的关联奠定了理论基础,也为全国碳市场价格机制的优化设计提供了政策参考。