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The international portfolio diversification is a function of correlation of equity markets across countries and the amount of correlation one market has with another, decides the scope of portfolio diversification. The market having high correlation with other markets generally has less scope for portfolio diversification. This research study investigated the existence of long run portfolio diversification benefits and opportunities of eight emerging stock markets in Asia and three top, benchmark index of Developed Markets. Models such as Factor Analysis, Principal Component (PC) and Maximum Likelihood (ML), Correlation Matrix and Graphical Price Movement Diagram were used for estimating the portfolio diversification opportunity and benefits. It is suggested from overseas portfolio diversification analysis that in Asian emerging stock markets (especially China, India, Malaysia, Taiwan, Indonesia and Thailand), there are good opportunities for overseas portfolio diversification and the investors may earn high return.

This paper evaluates the performance of carry trade strategies with implied Taylor rule interest rate differentials and compares the performance statistics of them over the naive carry trade strategy with actual interest rates. Carry trade, a currency speculation strategy, between high-interest rate and low-interest rate currencies generates high payoff on average and has a possibility of crash risk. I argue that the crash risk is reduced with implied Taylor rule interest rate differentials as a trading strategy in Yen and Franc trades for the whole sample period. During the recent financial crisis, the carry trading strategies with Taylor rule perform best in terms of mean returns, risk adjusted returns and downside risk.

The euro crisis shed lights on the nature of alternative adjustment mechanisms in a monetary union characterized by a large heterogeneity. Exchange rate adjustments being impossible, it remains very few efficient alternative mechanisms. At the level of the whole eurozone the euro is close to its equilibrium parity. But the euro is strongly overvalued for Southern European countries, France included, and largely undervalued for Northern European countries, especially Germany. This paper gives a new evaluation of these exchange rate misalignments inside the eurozone, using a FEER approach, and examines the evolution of competitiveness. In a second step, we use a two-country SFC model of a monetary union with endogenous interest rates and Eurobonds issuance. Three main results are found. Firstly, facing a competitiveness loss in southern countries due to exchange rates misalignments, increasing intra-European financing by banks of northern countries or other institutions could contribute to reduce the debt burden and induce a partial recovery but public debt would increase. Secondly, the implementation of Eurobonds as a tool to partially mutualize European sovereign debt would have a rather similar positive impact, but with a public debt limited to 70 percent of GDP. Finally, Eurobonds could also be used to finance large European projects which could impulse a stronger recovery in the entire zone with stabilized current account imbalances. However, the creation of a European institution in charge of the issuance of the Eurobonds would face strong political obstacles.

The purpose of this paper is to estimate the effects of the trade liberalization and of the international financial integration on the long-term behavior of Real Exchange Rate (RER) for the South East Mediterranean countries. So the following question: how does the new trade and financial context affect the Equilibrium RER? We refer to the econometric technique of time series analysis, (the unit root tests of Dickey-Fuller (1979) and we apply the cointegration test of Engle and Granger (1987) of single equation for six South East Mediterranean countries (Algeria, Egypt, Lebanon, Morocco, Tunisia and Turkey) over the period of 1979-2004. Our estimates suggest that, for the six countries, long-term RER behavior depends essentially on economic specificity of each country and in particular on their degree of financial integration and trade opening. Our results also show that the evolution of the RER misalignment during our sample period, seem to be for some countries persistant and recurrent, but with decrease.

This article studies the international integration of the national stock markets of sixteen European countries. The international financial market is represented by two indices: a European index and a World index. The methodology of co-integration, used in this article, is the proper econometrical solution for the treatment of non-stationary series as those used in the present research. Complementarily, co-integration offers the possibility of distinguishing the long-term and the short-term interdependence, which very important when the variables are financial market indices. The empirical tests in this research have shown that both European and non European international factors are necessary to explain the international integration of the national stock markets under analysis. .

In this study, we develop the Taylor rule and Taylor rule-based exchange rate models that consider wealth effects as represented by both asset prices and asset wealth. Using data for Australia, Sweden, the UK and the USA, we find that effects of asset prices and wealth on the Taylor rule vary depending on the country and on the form that wealth takes. Out-of-sample forecasting capacities of the wealth-augmented Taylor rule model and Taylor rule-based exchange rate model outperform conventional models and random walk theories for these countries. Javier Ordóñez gratefully acknowledges financial support from the UJI project P1-1B2014-17, the Generalitat Valenciana project PROMETEOII/2014/053 and the Spanish Ministry of Economy and Competitiveness project ECO2014-58991-C3-2-R. We would like to thank three anonymous referees for their helpful comments and suggestions, the usual disclaimer applies.

We employ a unique dataset on members of an elite service club in Germany to investigate how elite networks affect the allocation of resources. Specifically, we investigate credit allocation decisions of banks to firms inside the network. Using a quasi-experimental research design, we document misallocation of bank credit inside the network, with state-owned banks engaging most actively in crony lending. The aggregate cost of credit misallocation amounts to 0.13 percent of annual GDP. Our findings, thus, resonate with existing theories of elite networks as rent extractive coalitions that stifle economic prosperity.

This paper investigates stock market contagion between U.S. and Asian markets. To distinguish between contagion and fundamentals-based stock price comovement, we use NYSE-traded stocks issued by Asian firms. Among the results, first we find that the empirical results show significant bilateral contagion effects in returns and return volatility. Second, contagion effects from U.S. market to Asian markets are stronger than in the reverse direction, indicating that the U.S. market plays a major role in the transmission of information to foreign markets. Third, the intensity of contagion was significantly greater during the Asian financial crisis than after the crisis.

International audience; I build an exchange rate strategy that trades currencies conditional on changes in the global prices of commodity indices; hence, termed “commodity strategy”. First, I document that commodity prices have signicant out-of-sample forecasting ability for the future exchange rates of several commodity exporters and importers at the daily frequency. However, I report that the reverse forecasting relationship does not survive out-of-sample testing. Second, I find a signicant cross-sectional spread, in both spot and excess returns, of 6% p.a. between the currencies that are predicted to appreciate and those that are predicted to depreciate. The returns appear to be uncorrelated to those of popular exchange rate strategies such as the carry trade and currency momentum. Furthermore, the spread in returns is not explained by traditional risk factors; however, it is partly accounted for by the strategy’s high transaction costs. Net probability can be restored by either implementing a simple market timing rule or by investing in developed markets with low costs and high liquidity.

The decomposition of the market return into its cash-flow and discount-rate news driven components reveals that excess returns on low forward discount currency portfolios load positively on "good" news about the stock market's discount rates while high forward discount currencies load negatively on this news. Average currency portfolio returns are hence explained by different sensitivities to discount-rate news. A two-beta version of the CAPM, distinguishing between cash-flow and discount-rate betas, is able to price both currency and stock portfolio returns at the same time. Finally, we find that the relation between stock market news and foreign currency returns varies across the two either discount-rate news or both discount-rate and cash-flow news driven stock market booms of the past two decades.

Recent evidence highlights that commodity price changes exhibit a short-lived, yet robust contemporaneous effect on commodity currencies, which is mainly detectable in daily-frequency data. We use MIDAS models in a Bayesian setting to include mixed-frequency dynamics while accounting for time-variation in predictive ability. Using the random walk Metropolis-Hastings technique as a new tool to estimate our class of MIDAS regressions, we find that for most of the commodity currencies in our sample exploiting this short-lived relationship yields to statistically more precise out-of-sample exchange rate point and density forecasts relative to the no-change benchmark. Further, the usual low-frequency predictors, such as money supplies and interest rates differentials, typically receive little support from the data at monthly forecasting horizons. In contrast, models featuring daily commodity prices are highly likely.

We investigate the predictive information content in foreign exchange volatility risk premia for exchange rate returns. The volatility risk premium is the difference between realized volatility and a model-free measure of expected volatility that is derived from currency options, and reflects the cost of insurance against volatility ‡fluctuations in the underlying currency. We find that a portfolio that sells currencies with high insurance costs and buys currencies with low insurance costs generates sizeable out-of-sample returns and Sharpe ratios. These returns are almost entirely obtained via predictability of spot exchange rates rather than interest rate differentials, and these predictable spot returns are far stronger than those from carry trade and momentum strategies. Canonical risk factors cannot price the returns from this strategy, which can be understood, however, in terms of a simple mechanism with time-varying limits to arbitrage.

In the rapidly developing world, forecasting is very important for numerous aspects of our lives, the finance realm not being an exception. Various qualitative and quantitative methods are used to predict what is ahead. One of them is the Delphi method, an anonymous, structured discussion among experts on the forecasted topic. Developed over 60 years ago, it is one of the most effective qualitative forecasting and decision-making techniques. That said, literature review suggests Delphi's advantages have not been sufficiently utilized in financial research. This paper is an introduction to Delphi with a focus on the method's application possibilities in finance and related disciplines. For this purpose, we performed a literature review and presented a step-by-step guide for implementing the Delphi technique, describing a structure of the Delphi process, major principles of Delphi, experts' selection, Delphi types, ways of establishing consensus, validity of the method among others. Finally, we focused on implementing Delphi in finance and offered example topics that could be studied with Delphi.

Traditionally, financial crisis Early Warning Systems (EWSs) have relied on macroeconomic leading indicators when forecasting the occurrence of such events. This paper extends such discrete-choice EWSs by taking the persistence of the crisis phenomenon into account. The dynamic logit EWS is estimated using an exact maximum likelihood estimation method in both a country-by-country and a panel framework. The forecasting abilities of this model are then scrutinized using an evaluation methodology which was designed recently, specifically for EWSs. When used for predicting currency crises for 16 countries, this new EWS turns out to exhibit significantly better predictive abilities than the existing static one, both in- and out-of-sample, thus supporting the use of dynamic specifications for EWSs for financial crises.

We revisit medium- to long-run exchange rate determination, focusing on the role of international investment positions. To do so, we make use of a new econometric framework accounting for conditional long-run homogeneity in heterogeneous dynamic panel data models. In particular, in our model the long- run relationship between effective exchange rates and domestic as well as weighted foreign prices is a homogeneous function of a country's international investment position. We find rather strong support for purchasing power parity in environments of limited negative net foreign asset to GDP positions; furthermore, long-run exchange rate equilibria may have little relation to purchasing power parity outside such environments. We thus argue that the purchasing power parity hypothesis holds conditionally, but not unconditionally, and that international investment positions are an essential component to characterizing this conditionality.

We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations across a number of investment horizons between pairs of assets is a dominant feature during times of economic downturn and financial turbulence for all three pairs of the assets under research. Heterogeneity prevails in correlations between gold and stocks. After the 2008 crisis, correlations among all three assets increase and become homogenous: the timing differs for the three pairs but coincides with the structural breaks that are identified in specific correlation dynamics. A strong implication emerges: during the period under research, and from a different-investment-horizons perspective, all three assets could be used in a well-diversified portfolio only during relatively short periods.

The present paper analyses the relationship between the volume of transactions with futuresequity index products and the return volatility of their underlying assets. The study addressesthe case of five stock markets, members of the Euronext.liffe. We employ a frequency domainanalysis to identify the direction of the causality. In addition, we test the relationship betweenthe volume of futures contracts and both negative and positive shocks in terms of the historicalvolatility of index returns. Our results indicate the frequency causality only in the case ofBrussels financial market. For Lisbon, the causality is present, but it is not validated by theconfidence level tests, while for London, Paris and Amsterdam, no causality can be observed. Inthe case of Brussels, the causality is bidirectional, both in the short and long run frequencies.The futures equity index volume Granger-causes the positive shocks in terms of volatility in thelong run and the negative shocks in the short run., info:eu-repo/semantics/published, Special Issue30th Symposium on Money, Banking and FinanceGuest editors: Christian Aubin, Noëlle Duport andDaniel Goyeau

This discussion paper resulted in a publication in 'Selected Papers of the MSSANZ 19th Biennial Conference on Modelling and Simulation Mathematics and Computers in Simulation', 2013, pp. viii. The papers in this special issue of Mathematics and Computers in Simulation cover the following topics: improving judgmental adjustment of model-based forecasts, whether forecast updates are progressive, on a constrained mixture vector autoregressive model, whether all estimators are born equal: the empirical properties of some estimators of long memory, characterising trader manipulation in a limit-order driven market, measuring bias in a term-structure model of commodity prices through the comparison of simultaneous and sequential estimation, modelling tail credit risk using transition matrices, evaluation of the DPC-based inclusive payment system in Japan for cataract operations by a new model, the matching of lead underwriters and issuing firms in the Japanese corporate bond market, stochastic life table forecasting: a time-simultaneous fan chart application, adaptive survey designs for sampling rare and clustered populations, income distribution inequality, globalization, and innovation: a general equilibrium simulation, whether exchange rates affect consumer prices: a comparative analysis for Australia, China and India, the impacts of exchange rates on Australia's domestic and outbound travel markets, clean development mechanism in China: regional distribution and prospects, design and implementation of a Web-based groundwater data management system, the impact of serial correlation on testing for structural change in binary choice model: Monte Carlo evidence, and coercive journal self citations, impact factor, journal influence and article influence.

The euro zone crisis illustrates the insufficiency of adjustment mechanisms in a monetary union characterized by a large heterogeneity. Exchange rate adjustments being impossible, they are very few alternative mechanisms. This situation reflects a simple diagnosis. At the level of the whole euro zone, the euro is close to its equilibrium parity. But the euro is strongly overvalued for Southern European countries, France included, and largely undervalued for Northern European countries, especially Germany. In a first step, the paper gives an evaluation of these exchange rate misalignments inside the euro zone, using a FEER approach. Using panel econometric techniques over the period 1994-2011, we confirm that the exchange rate misalignments in the euro zone have diverged, reflecting unsustainable evolutions. Last, we give an estimation of the equivalent transfers in % of GDP implied by these misalignments in the different European countries. In a second step, we use a 'stock-flow consistent' model of a monetary union with two countries along the lines of Godley and Lavoie (2007) and Duwicquet and Mazier (2010). A federal budget is introduced with federal expenditures and social transfers financed by federal taxes and euro-bonds issuing. Three results are obtained. The stabilizing role of such a federal budget is confirmed facing asymmetric shock or the negative impact of exchange rate misalignments inside the monetary union. Without such a federal mechanism the overvaluation of the Southern currency (Greek or Spanish euro), facing the undervaluation of the Northern currency (German euro), induces a strong slowdown in the South and a cumulative imbalances within the monetary union. Similarly, the stabilizing role of euro-bonds used to finance European investment projects is illustrated. Their role in the pooling of national debts would be the last point to examine.

This paper examines the exchange rate predictability stemming from the equilibrium model of international financial adjustment developed by Gourinchas and Rey (2007). Using predictive variables that measure cyclical external imbalances for country pairs, we assess the ability of this model to forecast out-of-sample four major U.S. dollar exchange rates using various economic criteria of model evaluation. The analysis shows that the model provides economic value to a risk-averse investor, delivering substantial utility gains when switching from a portfolio strategy based on the random walk benchmark to one that conditions on cyclical external imbalances. © 2011 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

We model the choice of loan currency in a framework which features a trade-off between lower cost of debt and the risk of firm-level distress costs. Under perfect information, if foreign currency funds come at a lower interest rate, all foreign currency earners as well as those local currency earners with high revenues and/or low distress costs choose foreign currency loans. When the banks have imperfect information on the currency and level of firm revenues, even more local earners switch to foreign currency loans, as they do not bear the full cost of the corresponding credit risk. Thus information asymmetry between banks and firms can be a potential driver of "dollarization" in credit markets.

In this paper we see the evolution of a capitalized financial event e, with respect to a capitalization factor f, as the exponential map of a suitably defined Lie group G(f,e), supported by the half-space of capitalized financial events having the same capital sign of e. The Lie group G(f,e) depends upon the capitalization factor f and on the event e itself. After the extension of the definition of exponential map of a Lie group, we shall eliminate the dependence on the financial event e, recognizing the presence of essentially one unique financial Lie semigroup, supported by the entire space of capitalized financial events, determined by the capitalization factor f.

El trabajo utiliza una medida de los flujos de capital privado de corto plazo y variables que buscan capturar los niveles de los créditos comerciales y también de las transacciones internacionales así como factores de expulsión y atracción para evaluar la efectividad de los controles de capital, específicamente de un depósito no remunerado sobre los flujos de crédito externo, en el caso colombiano. Se utiliza la metodología de Johansen y Juselius la cual permite usar directamente variables no estacionarias en las estimaciones y controlar por problemas de simultaneidad. La conclusión principal es que los controles han sido efectivos en disminuir los flujos de capital de corto plazo. La evidencia también resalta el papel jugado por factores de expulsión y atracción en la determinación de los flujos de crédito externo y muestra que la hipótesis de paridad descubierta de interés, ajustada por una prima de riesgo, no es satisfecha por los datos.

This paper provides evidence of spillover effects from the Indian to the US financial markets. We use VAR and Kalman filter analysis to assess the influence of financial stress indicators like the LIBOR-OIS, CDS, the S&P 500 volatility and the exchange rate of the rupee against the Dollar on two indicators of financial stress in India, namely the illiquidity of stock indices and their volatility. We conduct an analysis bases on both daily and monthly frequency and use a database that consists of both aggregate and disaggregated indexes. Our results points to a signification contagion effect after the period following the Lehman Brothers collapse.

Household borrowing in a foreign currency is a widespread phenomenon in Austria. Thirteen percent of Austrian households report their housing loan to be denominated in foreign currency, mostly Swiss franc. Yet, despite its importance, peculiar character, and acute policy concerns, we know little about the attitudes and characteristics of the households involved in this type of carry trade. We analyze a uniquely detailed financial wealth survey of 2556 Austrian households to sketch a comprehensive profile of the attitudes and characteristics of the households involved. We employ both univariate tests and multivariate multinomial logit models. The survey data suggest that risk seeking, affluent, and married households are more likely to take a housing loan in a foreign currency. Financially literate or high-income households are more likely to take a housing loan in general. These findings partially assuage policy concerns about household default risk on foreign-currency housing loans or household retirement security.

A practice that has become widespread and widely endorsed is that of evaluating forecasts of financial variability obtained from discrete time models by comparing them with high-frequency ex post estimates (e.g. realised volatility) based on continuous time theory. In explanatory financial variability modelling this raises several methodological and practical issues, which suggests an alternative approach is needed. The contribution of this study is twofold. First, the finite sample properties of operational and practical procedures for the forecast evaluation of explanatory discrete time models of financial variability are studied. Second, based on the simulation results a simple but general framework is proposed and illustrated. The illustration provides an example of where an explanatory model outperforms realised volatility ex post.

Momentum in developed countries' stock market index returns can be exploited to form portfolios of excess returns on foreign currencies as relatively high past foreign stock market returns signal a foreign currency appreciation. Two risk factors extracted from the stock index momentum based currency portfolio returns explain more than 80 percent of their cross-sectional variation. In contrast to currency risk factors constructed from forward discount sorted currency portfolios, these risk factors are not related to business cycle or liquidity risk. But high currency risk premia are associated with relatively deep financial integration and a high level of risk sharing.

This study aims to detect and explain co-movements and spill over effects between American and Croatian stock markets. Following the methodology and findings of Erjavec and Cota (2007), the dependency of the Crobex index to the main US indices (DJIA, S&P500, NASDAQ) is further examined. The econometric study is widened, and the persistent relationship between Croatian and American indices is additionally elaborated using ARIMA and GARCH models using a different data set (January 3rd, 2005 to November 6th, 2008). Despite the fact that intra-sectoral connections between Croatian and American business sectors are rather weak, it is clear that the investors on the Croatian stock market dominantly rely on American indices movements. This was especially apparent during the beginning of the World Financial Crisis in October 2008 when the prices of Croatian companies had almost nothing to do with their business results. The behaviour of Croatian investors was largely based on the psychological effects of the crisis, and this is why behavioural finance is introduced to explain what pure financial reasoning could not. High correlation and co-movements between Croatian and American indices could be explained by three concepts; global factors, contagion and irrational escalation.

This paper analyzes the determination of equity portfolios and country stock returns in the context of imperfectly integrated stock markets. We consider a continuous-time model of a two-country endowment economy in which the level of financial integration is captured by a proportional tax on foreign dividends. Despite the heterogeneity among investors induced by this tax, we obtain approximate closed-form expressions for asset prices and we characterize equity holdings and the joint process followed by country stock returns in equilibrium. Our model is consistent with a broad range of empirical findings on international financial integration. When the (endogenous) cross-country return correlation is high, small frictions in equity markets can generate a substantial home bias in portfolios. In the baseline version of our model, the cross- country return correlation is driven by fundamental correlation and portfolio rebalancing. In a two-good extension of the model, the adjustment of relative good prices can generate high stock return correlation even for a low level of fundamental correlation, thus magnifying the impact of the financial friction on portfolios.

We analyze the time-variations of conditional correlations between selected Latin American emerging markets and between them and the World stock market to further shed light on the issues of capital market integration and portfolio diversification. The cross-market correlations are empirically estimated from the Engle (2002)'s DCC-GARCH model. Bai and Perron (2003)'s structural break analysis technique is also employed to test for possibly changing nature of stock market comovements. Main findings of the paper are as follows. First, the degree of cross-market comovements changed over time and has significantly increased since 1994 and onwards, which is to the large extent informative of increasing market integration. Despite the significant interdependencies among the studied markets, room for international portfolio diversification nevertheless seems largely possible. Second, it is demonstrated that the cross-market comovements are subjected to various regime shifts due essentially to major stock market events. Finally, the purpose that stock markets move much more together in times of crisis than in normal times can not be rejected according to our empirical evidence.

In this study a regime switching approach is applied to estimate the chartist and fundamentalist (c&f) exchange rate model originally proposed by Frankel and Froot (1986). The c&f model is tested against alternative regime switching specifications applying likelihood ratio tests. Nested atheoretical models like the popular segmented trends model suggested by Engel and Hamilton (1990) are rejected in favour of the multi agent model. Moreover, the c&f regime switching model seems to describe the data much better than a competing regime switching GARCH(1,1) model. Finally, our findings turned out to be relatively robust when estimating the model in subsamples. The empirical results suggest that the model is able to explain daily DM/Dollar forward exchange rate dynamics from 1982 to 1998.

We analyze the dynamics of price jumps and the impact of the European debt crisis using the high-frequency data reported by selected stock exchanges on the European continent during the period January 2008 to June 2012. We employ two methods to identify price jumps: Method 1 minimizes the probability of false jump detection (the Type-II Error-Optimal price jump indicator) and Method 2 maximizes the probability of successful jump detection (the Type-I Error-Optimal price jump indicator). We show that individual stock markets exhibited differences in price jump intensity before and during the crisis. We also show that in general the variance of price jump intensity could not be distinguished as different in the pre-crisis period from that during the crisis. Our results indicate that, contrary to common belief, the intensity of price jumps does not uniformly increase during a period of financial distress. However, there do exist differences in price jump dynamics across stock markets and investors have to model emerging and mature markets differently to properly reflect their individual dynamics.