Determinants of workers’ remittances: An empirical investigation for a panel of eleven developing Asian economies

We explore the key motives of migrant workers’ remittances from abroad for 11 major Asian migrant‐sending countries. Using panel regressions, we find that relative higher growth rate, interest rate and capital market returns of home over the host, investment, financial deepening at home have significant impact on remittance inflows into Asia, along with higher per capita incomes and international crude oil prices. With incorporation of per capita incomes and lagged impact of remittances, we observe an emergence of consumption motives to remit. Therefore, we conclude that both investment and altruistic motives are the driving forces for remittances inflows into the Asian economies.     

经济政策主要变量对控制中国失业率有效性的实证检验

随着中国经济的增长,失业率却一直居高不下,因此国家采取各种手段进行宏观调控。在回顾各种经济学派对失业理论研究的基础上,着眼于经济政策对控制失业率是否有效,在简要分析货币政策和财政政策对失业率影响的基础上,选取1991—2011年中国城镇登记失业率、货币发行量以及财政支出,通过对三者进行单位根检验和Johansen协整检验,得到三者存在唯一的协整关系,并建立误差修正模型,得出货币发行量对失业率影响较大并且较稳定的结论,并通过格兰杰因果检验,得出货币发行量和财政支出与失业率之间都不存在因果关系,最后在实证研究的基础上对当前中国如何控制失业率提出相应的对策。     

Good governance,innovation, economic growth and the stock market turnover rate

This study is primarily aimed at testing the theory of good governance in the group of eight developing Islamic countries. Using a panel data regression model, we examined the data to determine the relationship between political economy and economic development of eight countries, for the period 2005 to 2014. The results show a significant positive correlation between the rule of law, corruption control with economic growth and stock market turnover rate proxy. The examination through an artificial neural network resulted in a higher determination coefficient and less average standard error. This, in turn, reveals that the fitting power and efficiency of this method is higher than the panel data regression model. Furthermore, the findings of this study suggest that the application of good governance theory calls for more inquiry.     

Investigating first‐stage exchange rate pass‐through: Sectoral and macro evidence from euro area countries

In this paper, we evaluate the first‐stage pass‐through, namely the responsiveness of import prices to the exchange rate changes, for a sample of euro area (EA) countries. Our study aimed to shed further light on the role of microeconomic factors versus macroeconomic factors in influencing the extent of the exchange rate pass‐through (ERPT). As a first step, we conduct a sectoral analysis using disaggregated import prices data. We find a much higher degree of pass‐through for more homogeneous goods and commodities, such as oil and raw materials, than for highly differentiated manufactured products, such as machinery and transport equipment. Our results confirm that cross‐country differences in pass‐through rates may be due to divergences in the product composition of imports. The higher share of imports from sectors with lower degrees of pass‐through, the lower ERPT for an economy will be. In a next step, we investigate for the impact of some macroeconomics factors or common events experienced by EA members on the extent of pass‐through. Using the system generalised method of moments within a dynamic panel‐data model, our estimates indicate that decline of import‐price sensitivity to the exchange rate is not significant since the introduction of the single currency. Our findings suggest instead that the weakness of the euro during the first 3 years of the monetary union significantly raised the extent of the ERPT. This outcome could explain why the sensitivity of import prices has not fallen since 1999. We also point out a significant role played by the inflation in the Eurozone, as the responsiveness of import prices to exchange rate fluctuations tends to decline in a low and more stable inflation environment. Overall, our findings support the view that the extent of pass‐through is comprised of both macro‐ and microeconomic aspects that policymakers should take into account.     

商业银行存款保险制度在我国的发展前景

从当前国内外存款保险制度理论研究现状入手,基于我国特殊国情,探讨我国实行存款保险制度的现实意义、难点及途径.提出我国应充分发挥优势,博采众长,探索建设中国特色存款保险制度.     

Positive asymmetric information in volatile environments: The black market dollar and sovereign bond yields in Venezuela

PurposeWe test the informational efficiency of Venezuelan USD sovereign bond yields when the black market exchange-rate premium (BMERP) changes.DesignWe use a non-parametric, asymmetric, Granger causality test to test our hypothesis.FindingsWe find that the bond market with less than or equal to 5 years of maturity seems to be efficient when good news is released on the BMERP. However, this market is not informationally efficient, and when combined with unbiased bad news regarding the BMERP, arbitrage opportunities are created.Originality/valueCapital controls that restrict free exchange-rate mechanisms create arbitrage opportunities with negative news as opposed to positive news.     

COMMUNICATION ABOUT FUTURE POLICY RATES IN THEORY AND PRACTICE: A SURVEY

We discuss the theoretical rationale for central bank communication about future policy rates, either as part of inflation targeting or in the form of forward guidance. We also summarize both actual central bank communication about future policy rates and empirical evidence on the effectiveness of these types of communication. We argue that there is a disconnect between the theory and practice of forward guidance, as theory assumes commitment on the part of the central bank, while in practice central banks generally do not commit. Future theoretical research on forward guidance should therefore take the absence of commitment by central banks into account.     

Do sovereign rating announcements affect emerging market exchange rate correlations? A multivariate DCC-GARCH approach

This article investigates the effects of sovereign credit rating announcements on time-varying exchange rate return correlations for a sample of 11 emerging market countries over the period 2002–2015. The data set covers daily exchange rates and long-term foreign currency sovereign ratings, outlooks and watch list. The pairwise time-varying correlations are derived by corrected Dynamic Conditional Correlation (cDCC) modelling which is a member of multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models family. Furthermore, to capture the global factor effect, a dynamic-weighted index is created by using dynamic principal component (DPC) analysis. Findings suggest that some of the emerging market exchange rate co-movements are affected by rating announcements. Upgrades of Moody’s and downgrades of Fitch lead to spillovers. Main source of these spillovers are sovereign credit rating changes of European countries, especially Czech Republic and Turkey. Countries with high amount of external debt, large current account deficit and speculative grade are more prone to be influenced by announcements on a foreign country’s long-term sovereign rating.     

Official FX interventions through derivatives

We use high-frequency data to study the effects of currency swap auctions carried out by the Brazilian Central Bank on the USDBRL exchange rate. We find that official currency swap auctions impact the exchange rate in a significant way, even though they do not directly alter the supply of foreign currency in the market. We show that during our sample period auctions of contracts in which the Central Bank took a short position in USD had larger effects than those in which the Central Bank took a long position. The supply of currency swaps to the market provides an alternative for traders that demand foreign currency for financial (speculative or hedging) rather than transactional reasons, and thus affects the demand for foreign currency and its price. This mechanism is likely to be particularly relevant when forecasters extrapolate exchange rate trends at short-term horizons.     

Exchange rate effect on carbon credit price via energy markets

This paper examines the impact of currency exchange rates on the carbon market. We scrutinize this effect through the European Union Emission Trading Scheme (EU-ETS), which primarily uses two substitutable fossil energy inputs for the generation of electricity: coal and natural gas. The European coal market is directly driven by global coal markets that are denominated in USD, whereas, natural gas is mainly imported from Russia and is denominated in Euros. The impulse response functions of a Structural Vector Autoregression (SVAR) model demonstrate that a shock in the Euro/USD exchange rate can be transmitted through the channel of energy substitution between coal and natural gas, and influence on the carbon credit market.