Stock exchange mergers and weak form of market efficiency: The case of Euronext Lisbon

This exploratory paper is among the first to examine the impact of stock exchange mergers on informational market efficiency. We focus on the merger of Bolsa de Valores de Lisboa e Porto (Portuguese Stock Exchange) with Euronext in 2002 (that created Euronext Lisbon). To investigate this question we perform numerous statistical tests: serial correlation test (ACF test), runs test, unit root test (Kwiatkowski, Philips, Schmidt, & Shin, 1992), multiple variance ratio test (Chow & Denning, 1993) and ranks and signs test (Wright, 2000).The results indicate that the Portuguese Equity Market is inefficient in weak form during pre-merger period implying that investors possessed an opportunity to earn abnormal returns though small in magnitude. The results, sensitive to the methodology used, indicate a mixed evidence of improvement in market efficiency during the post-merger period. Although the findings are mixed, yet most tests show a tendency of improved efficiency.     

Stock exchange mergers and return co-movement: A flexible dynamic component correlations model

The creation of a common cross-border stock trading platform is found, by use of a Flexible Dynamic Component Correlations (FDCC) model, to have increased long-run trends in conditional correlations between foreign and domestic stock market returns.     

The impact of information signals on market prices when agents have non-linear trading rules

Several methods have been developed for filtering seasonal influences and extreme returns in financial and economic time series. The theoretical support for these approaches is rather questionable since it focuses on the effects of shocks on prices and not on their sources. Removing such effects modifies the true generating system of market dynamics because of the non-proportional character of non-linearity. Thus, taking into account that the underlying process of economic time series is highly non-linear we cannot be certain a priori what the impact of new information will be on the dynamic structure of a system. The main contribution of this paper is to demonstrate using the methodology of simulations the eventual distortions in time series data arising from the arrival of news when agents follow non-linear trading strategies. We argue that if news can really modify the dynamical behaviour of a system, then the methodology of filtering exogenous distortions needs to be re-examined.     

Bilateral real exchange rates and migration

Migrants who move across borders are, to a large extent, motivated by the prospect of earning higher incomes at destination, which can be partly transferred back to their countries of origin via remittances. This suggests that the real exchange rate can influence the incentives to migrate, as it determines the purchasing power of expected income in terms of the currency of the origin country. This article investigates empirically how bilateral real exchange rate fluctuations influence international migration flows. To do so, we build a dataset of 30 OECD destination countries and 165 origin countries over the period 1980–2011 and estimate an equation derived from a micro-founded random utility maximization model that allows for unobserved heterogeneity between migrants and non-migrants. Our results show that migration flows are highly responsive to bilateral real exchange rates: A 10% real appreciation of the currency of the destination country is associated with an 18.2–19.4% increase in migration flows.     

Chaos in German stock returns — New evidence from the 0-1 test

This paper applies the 0-1 test for chaos to returns from the German stock market, providing empirical evidence of chaotic structures in the returns of all DAX members. For noise reduction purposes, wavelet denoising is employed prior to the application of the 0-1 test.     

Dynamic linkages between exchange rates and stock prices: Evidence from East Asian markets

This study examines dynamic linkages between exchange rates and stock prices for seven East Asian countries, including Hong Kong, Japan, Korea, Malaysia, Singapore, Taiwan, and Thailand, for the period January 1988 to October 1998. Our empirical results show a significant causal relation from exchange rates to stock prices for Hong Kong, Japan, Malaysia, and Thailand before the 1997 Asian financial crisis. We also find a causal relation from the equity market to the foreign exchange market for Hong Kong, Korea, and Singapore. Further, while no country shows a significant causality from stock prices to exchange rates during the Asian crisis, a causal relation from exchange rates to stock prices is found for all countries except Malaysia. Our findings are robust with respect to various testing methods used, including Granger causality tests, a variance decomposition analysis, and an impulse response analysis. Our findings also indicate that the linkages vary across economies with respect to exchange rate regimes, the trade size, the degree of capital control, and the size of equity market.     

Price manipulation in an experimental asset market

We analyze in the laboratory whether an uninformed trader is able to manipulate the price of a financial asset by comparing the results of two experimental treatments. In the benchmark treatment, 12 subjects trade a common value asset that takes either a high or a low value. Only three subjects know the actual value of the asset while the market is open for trading. The manipulation treatment is identical to the benchmark treatment apart from the fact that we introduce a computer program as an additional uninformed trader. This robot buys a fixed number of shares in the beginning of a trading period and sells them again afterwards. Our main result shows that the last contract price is significantly higher in the manipulation treatment if the asset takes a low value and that private information is very well disseminated by both markets if the value of the asset is high. Finally, even though this simple manipulation program loses money on average, it is profitable in some instances.     

On the Use of the Moving Average Trading Rule to Test for Weak Form Efficiency in Capital Markets

The examination for the possible existence of predictive power in the moving average trading rule has been used extensively to test the hypothesis of weak form market efficiency in capital markets. This work focuses mainly on the study of the variation of the moving average (MA) trading rule performance as a function of the length of the longer MA. Empirical analysis of daily data from NYSE and the Athens Stock Exchange reveal high variability of the performance of the MA trading rule as a function of the MA length and on some occasions the series of successive trading rule total returns is non‐stationary. These findings have direct implications in weak form market efficiency testing. Indeed, given this high variability of the performance of the MA trading rule, by just finding out that trading rules with some specific combinations of MA lengths can or cannot beat the market, as is the case in most of the published work thus far, is not enough evidence for or against the existence of weak form market efficiency. Results also show that on average in about three out of four cases trading rule signals are false, a fact that leaves a lot of space for improved trading rule performance if trading rule signals are combined with other information (e.g. filters, or volume of trade). Finally, some evidence of enhanced trading rule performance for the shorter MA lengths was found. This enhanced performance is partly attributed to the higher probability that a trading rule signal is not a whipsaw, as well as to the larger number of days out‐of‐the‐market which are associated with shorter MA lengths.     

The persistence in real exchange rate: Evidence from East Asian countries

In this article, we examine the degree of persistence in monthly real exchange rate of six East Asian countries in relation to their two major trading partners, the United States and Japan, to study the validity of PPP for the 1976:01–2009:03 period. To investigate the persistency in real exchange rate series, we use sum of the autoregressive (AR) coefficients and the confidence interval for it using grid-bootstrap procedure recently developed by Hansen (1999). We have two findings: first, we find evidence for high persistency in real exchange rate in terms of the Japanese yen for five countries and for four countries in terms of the US dollar the for the full and pre-crisis sample periods. Second, for the post-crisis period, the presence of low persistency in real exchange rate supports PPP for three countries in terms of the Japanese yen and five countries in terms of the US dollar. These findings indicate that real exchange rate series of five East Asian countries are mean-revert based on their exchange rate policies and East Asian countries can form a currency union.     

An Improved Two‐step Regularization Scheme for Spot Volatility Estimation

We are concerned with the problem of spot volatility estimation in the presence of microstructure noise. We introduce an estimator based on the technique of multi‐step regularization. A preliminary form for such an estimator was proposed in Ogawa (2008) and was shown to work in a real‐time manner. However, the main drawback of this scheme is that it needs a lot of observation data. The aim of the present paper is to introduce an improvement to this scheme, such that the modified estimator can work more efficiently and with a data set of smaller size. The technical aspects of implementation of the proposed scheme and its performance on simulated data are analysed. The scheme is tested against other spot volatility estimators, namely a realized volatility type estimator, the Fourier estimator and three kernel estimators.     

South African stock return predictability in the context data mining: The role of financial variables and international stock returns

In this paper, we examine the predictive ability, both in-sample and the out-of-sample, for South African stock returns using a number of financial variables, based on monthly data with an in-sample period covering 1990:01 to 1996:12 and the out-of-sample period of 1997:01 to 2010:04. We use the t-statistic corresponding to the slope coefficient in a predictive regression model for in-sample predictions, while for the out-of-sample, the MSE-F and the ENC-NEW tests statistics with good power properties were utilised. To guard against data mining, a bootstrap procedure was employed for calculating the critical values of both the in-sample and out-of-sample test statistics. Furthermore, we use a procedure that combines in-sample general-to-specific model selection with out-of-sample tests of predictive ability to further analyse the predictive power of each financial variable. Our results show that, for the in-sample test statistic, only the stock returns for our major trading partners have predictive power at certain short and long run horizons. For the out-of-sample tests, the Treasury bill rate and the term spread together with the stock returns for our major trading partners show predictive power both at short and long run horizons. When accounting for data mining, the maximal out-of-sample test statistics become insignificant from 6-months onward suggesting that the evidence of the out-of-sample predictability at longer horizons is due to data mining. The general-to-specific model shows that valuation ratios contain very useful information that explains the behaviour of stock returns, despite their inability to predict stock return at any horizon. The model also highlights the role of multiple variables in predicting stock returns at medium- to long run horizons.     

An analysis of extreme movements of exchange rates of the main currencies traded in the Foreign Exchange market

This article analyses the extreme movements of exchange rates of the seven main currencies traded in the Foreign Exchange market against the US dollar: Euro, British pound, Canadian dollar, Japanese Yen, Swiss franc, Australian dollar and New Zealand dollar by using tail index indicators. Payaslio?lu (2009) considers the case of the Turkish exchange rate using the traditional Hill (1975) estimator as a tool. In this article, we employ also an alternative estimator proposed in Iglesias and Linton (2009) that is shown to have, in some cases, improved finite sample properties and it provides substantially different results versus the Hill estimator. We find that for the Euro, Japanese Yen, Swiss franc, Canadian, Australian and New Zealand dollars, the Hill estimator provides a better measure to analyse the extreme behaviour; while for the British pound, the Iglesias and Linton alternative estimator is superior by using Hausman-type tests of misspecification. Measures of value at risk are also provided for the seven markets. We also find that the largest estimated value at risk by far is for the Japanese Yen, followed by the Swiss franc, the Canadian dollar, the Euro, the New Zealand dollar and the Australian dollar. The UK pound has the smallest value at risk when extreme movements occur.     

A prototype model of the foreign exchange market of Canada: Forecasting capital flows and exchange rates

A balance-of-payments structural model of the foreign exchange market of Canada, endogenizing capital flows, the spot and forward exchange rates and the entities of the monetary sector, is developed using quarterly data for 1971–81. The capital flows have been disaggregated into ten categories and the exchange rates of the Canadian dollar have been analysed against five major currencies. While the model does not adhere strictly to purchasing power or interest rate parity, it does recognize them and it also incorporates other economic fundamentals, expectations and risk. Government interventions, although generated endogenously, are quantified implicitly and globally. The model tracks the post-Bretton Woods in-sample experience and generates ex post predictions reasonably well.     

Why is the market for long-term care insurance so small?

Long-term care represents one of the largest uninsured financial risks facing the elderly in the United States. We present evidence of supply side market failures in the private long-term care insurance market. In particular, the typical policy purchased exhibits premiums marked up substantially above expected benefits. It also provides very limited coverage relative to the total expenditure risk. However, we present additional evidence suggesting that the existence of supply side market failures is unlikely, by itself, to be sufficient to explain the very small size of the private long-term care insurance market. In particular, we find enormous gender differences in pricing that do not translate into differences in coverage, and we show that more comprehensive policies are widely available, if seldom purchased, at similar loads to purchased policies. This suggests that factors limiting demand for insurance are also likely to be important in this market. Our evidence also sheds light on the likely nature of these demand-side factors.     

The Impact of Monetary Surprises on Australian Financial Futures Markets: An Insight into Cash Rate Target Announcements

This paper investigates the impact of unanticipated Australian monetary policy changes on AUD/USD exchange rate futures, and 3‐year and 10‐year Australian Treasury bond futures, during the period from January 1997 to April 2010. Our study contributes to the literature by using both the 30‐day and the 90‐day bank accepted bill (BAB) rates to disentangle the unexpected surprise component of monetary policy changes from overall cash rate target changes in the Australian money market, and by concurrently modelling the effects of monetary surprises and other key macroeconomic announcements in Australia. The empirical results suggest that the 30‐day BAB rate is the best proxy for the expected monetary policy actions. We find that the effect of monetary surprises on the volatility of the 3‐ and 10‐year bond future instruments is significant and persistent. We have also documented a strong monetary policy effect on the mean returns of the exchange rate futures, indicating that unexpected monetary policy adjustments have a significant impact on the level of the exchange rate movements rather than on the volatility of the FX futures market.     

Market efficiency broadcasted live: ECB code words and euro exchange rates

This paper examines the impact of the European Central Bank (ECB) monetary policy on euro exchange rate returns using an event study with intraday data for five currencies (the euro exchange rate versus the US dollar, the British pound, the Canadian dollar, the Swiss franc, and the Japanese yen). I construct two indicators of news about monetary policy stemming separately from policy decisions and the press conference. Estimation results show that the surprise component of communication has highly statistically significant effects on exchange rates, whereas the response of euro exchange rates to the unanticipated change in the policy rate is more muted. I also estimate the financial market impact on euro exchange rates of US, European and German macroeconomic news, and I show that the impact of the ECB press conference is economically important. The process of fully incorporating the ECB news shock takes about 1 h, and thus this result suggests that the whole press conference (both the Introductory Statement and the Q&A part) provides valuable information to market participants.     

Black market exchange rates in India: an empirical analysis

In this paper, we explore the determinants of black market (BM) exchange rates in India using annual data from 1955–1994 and integration and cointegration analysis. Two important factors, namely the import capacity of official foreign exchange reserves and restrictions on international trade, have largely been ignored as determinants of BM rates. We stress the importance of these two factors and incorporate them, with others more familiar in the literature, in our theoretical and empirical model for BM rates in India. Our empirical findings show that a low level of official foreign exchange reserves negatively and a high level of trade restrictions positively affect BM rates. We show that the flexible Bretton Woods exchange rate policies for India in 1973 have a negative impact on BM rates. The results also reveal that interest rate policies positively affect BM rates. Thus, our empirical model lends support to the trade and monetary approaches to BM rates and hence, trade restrictions with excess money supply should be removed to eliminate the BMs for forex in India. First Version Received: September 98/Final Version Received: January 2000     

The dynamic unsubstitutability of sterilization operations and neutral-intervention operations under dual exchange rates

The purpose of this paper is to examine whether neutral-intervention operations are a substitute for sterilization operations under the dual-exchange regime from the viewpoint of dynamic adjustment. It is found that both operations will generate quite different behavior throughout the adjustment process, although they are substitutable from the viewpoint of insulating money supply from the status of the current account. In addition, we also found that if the monetary authorities either intervene in the financial foreign exchange market or undertake sterilization operations in the open market, the dual-exchange regime will lose its insulation function to external financial disturbances.     

Estimates of the steady state growth rates for some European countries

This paper estimates the steady state growth rates for the main European countries with an extended version of the Solow (1956) growth model. Total factor productivity is assumed a function of human capital, trade openness and investment ratio. We show that these factors, with some differences, have played an important role to improve the long run growth rates of Italy, Spain, France, UK, and Ireland. A few policies to improve the long-run growth rates for these countries are suggested.     

Long memory and mean reversion in real exchange rates in Latin America

This article examines the long-run Purchasing Power Parity (PPP) hypothesis for 12 Latin American Real Effective Exchange Rates (REERs) using fractional integration techniques. The empirical results, applying parametric approaches, provide evidence of mean reversion in the REERs in the cases of Nicaragua, Belize, Costa Rica, Guyana and Paraguay and lack of it for the remaining seven countries. Employing semiparametric methods, the evidence of mean reversion covers the following countries: Belize, the Dominican Republic, Ecuador and Mexico. Thus, only for Belize and Guyana do we obtain consistent evidence of mean reversion in the real exchange rates. At the other extreme, lack of mean reversion, and thus, lack of PPP, is obtained with both methods in Bolivia, Brazil, Colombia and Venezuela. For the remaining six countries, the results are ambiguous. The results for the PPP theory in Belize and Guyana may show the importance of promoting policies based on exchange rate flexibility and economic liberalization to reach a long-run stability scenario that leads to greater international competitiveness and lower external vulnerability.