Liquidity commonality in order-driven trading: evidence from the Athens Stock Exchange

We examine the presence of liquidity commonality in the order-driven Athens Stock Exchange (ASE). Unlike the majority of liquidity commonality studies that focus on the bid–ask spread, our analysis extends deeper in the Limit Order Book, providing insight on the price impact of both small and large trades. We utilize a 6-month FTSE/ATHEX-20 intraday data set to estimate the liquidity factor model of Chordia et al. (2000). To this end, we conduct single-equation analysis as well as panel data analysis with the use of two-way clustered errors, correcting for simultaneous firm and time correlations. Moreover, we apply standard principal component analysis on stock liquidities to extract the marketwide liquidity component. We find that liquidity commonality is low at the bid–ask spread, whereas it increases deeper in the book; consequently, large traders face liquidity risks associated with both individual stock and marketwide illiquidity. Moreover, our empirical evidence hints that liquidity commonality is asynchronous, suggesting that the ASE trading process includes various levels of information speed. Our analysis contributes to the understanding of liquidity commonality in order-driven trading, especially in emerging markets like the ASE where trading activity is limited and information speed is low.     

Cointegration as an explanation for the Meese–Rogoff puzzle

Some economists suggest that the failure of exchange-rate models to outperform the random walk in exchange rate forecasting out of sample can be attributed to failure to take into account cointegration when it is present. We attempt to find out if cointegration matters for forecasting accuracy by examining the relation between the stationarity and size of the forecasting error. Results based on three macroeconomic models of exchange rates do not provide strong support for the proposition that cointegration matters for forecasting accuracy. The simulation results show that while stationary errors tend to be smaller than non-stationary errors, this is not a universal rule. Irrespective of the presence or absence of cointegration, none of the three models can outperform the random walk in out-of-sample forecasting, which means that cointegration cannot solve the Meese–Rogoff puzzle.     

Relationship between oil,stock prices and exchange rates: A vine copula based GARCH method

In this paper, we apply a vine copula approach to investigate the dynamic relationship between energy, stock and currency markets. Dependence modeling using vine copulas offers a greater flexibility and permits the modeling of complex dependency patterns for high-dimensional distributions. Using a sample of more than 10 years of daily return observations of the WTI crude oil, the Dow Jones Industrial average stock index and the trade weighted US dollar index returns, we find evidence of a significant and symmetric relationship between these variables. Considering different sample periods show that the dynamic of the relationship between returns is not constant over time. Our results indicate also that the dependence structure is highly affected by the financial crisis and Great Recession, over 2007–2009. Finally, there is evidence to suggest that the application of the vine copula model improves the accuracy of VaR estimates, compared to traditional approaches.     

Exchange rate pass-through in emerging countries: Do the inflation environment,monetary policy regime and central bank behavior matter?

In this paper, we estimate the exchange rate pass-through (ERPT) to import and consumer prices for a sample of 14 emerging countries over the 1994Q1-2015Q3 period. To this end, we augment the traditional bivariate relationship between the nominal effective exchange rate and inflation by accounting for monetary stability proxied by the inflation environment, monetary policy regime and central bank behavior. We show that both the level and volatility of inflation, as well as adopting an inflation target or the transparency of monetary policy decisions clearly reduce ERPT to consumer prices. However, uncertainty about domestic monetary policy seems less relevant in explaining the pass-through to the price of imports.     

Do terror attacks affect the dollar-pound exchange rate? A nonparametric causality-in-quantiles analysis

While much significant research has been done to study the effects of terror attacks on stock markets, less is known about the response of exchange rates to terror attacks. We suggest a non-parametric causality-in-quantiles test to study whether (relative) terror attacks affect exchange-rate returns and volatility. Using data on the dollar-pound exchange rate to illustrate the test, we show that terror attacks mainly affect the lower and upper quantiles of the conditional distribution of exchange-rate returns, while misspecified (due to nonlinearity and structural breaks) linear Granger causality test show no evidence of predictability. Terror attacks also affect almost all quantiles of the conditional distribution of exchange-rate volatility (except the extreme upper-end), with the significance of the effect being particularly strong for the lower quantiles. The importance of terror attacks is shown to hold also under an alternative measure of volatility and for an important emerging-market exchange rate as well.     

Optimal investment strategies in an international economy with stochastic interest rates

We investigate how investors should optimally choose to invest in a dynamically complete international market. We find closed-form solutions for the optimal investment strategy and for the wealth loss an investor suffers from not investing internationally. Theoretically, we show that the gain from international investment is due to the speculative investment only, and why it is important for an investor from a large economy to invest in a small economy. In a numerical example we compare the wealth losses investors from Denmark and the U.S. suffer due to home bias.     

Balance of payments accounting and exchange rate dynamics

The balance of payments is an accounting identity. Many wonder how the current and capital accounts, which add up to zero, can influence exchange rates. This paper shows how payment flows arising from balance of payments imbalances affect the demands for different currencies in the foreign exchange market over time. Based on a dynamical system approach, the paper demonstrates how international payments evolve depending on the joint dynamic behaviour of different balance of payments components. It finds that international payments and exchange rates interact in fundamentally different ways depending on whether a country restricts its capital inflows and outflows, whether capital flows are accommodating or autonomous and whether the exchange rate is fixed, flexible or, say, governed by a crawling peg. Empirical evidence from major industrial countries as well as from countries hit by currency crises support the paper's theoretical predictions.     

试论金融市场不同的有效程度与多元化企业经营的战略关系

文章运用有效市场假说理论,分析了金融市场4种不同的历史形态下金融市场的有效程度与多元化企业经营的内在关系。     

中国的增加值率为什么会出现下降？——基于非竞争型投入产出框架的视角

中国经济在快速增长同时，新增价值在产出中比例不断下降。本文在非竞争型投入产出框架下，分别运用结构分解方法和迪氏指数分解方法，从不同的角度对中国的增加值率1987—2007年下降的现象进行研究。结果表明，在研究期间中国增加值率从1987年的0．480下降到2007年的0．323，下降幅度达到32．63％。从行业结构角度来看，中国增加值率的下降与我国产业结构的两次变迁有关，是工业化进程中不可避免的结果；从最终需求角度分析，初次投入结构变动以及生产过程中进口中间品比例增加是导致增加值率下降的主要原因。最后，本文还结合分析结果对提高中国经济增长质量提供了相关建议。     

汇改、人民币国际化与汇率定价权 —基于双边随机前沿模型的实证研究

本文通过构建人民币外汇市场中关于人民币汇率定价权力的双边随机前沿模型, 分析了中外定价权差异对于人民币汇率的影响。实证研究表明,中国在人民币外汇市场上较外 部经济体具有更强的定价权力,近期的汇率贬值并非政府操作行为而是市场均衡结果;人民币 国际化和汇率市场化进程可以矫正偏离。本文的政策建议为：（1）继续推进人民币国际化和 汇改市场化进程。（2）进一步提高外部经济体参与人民币外汇市场交易的深度和广度。