This paper examines the impact of exchange rate uncertainty on different components of portfolio flows, namely equity and bond flows, as well as the dynamic linkages between exchange rate volatility and the variability of these two types of flows. Specifically, a bivariate GARCH-BEKK-in-mean model is estimated using bilateral data for the US vis-a-vis Australia, the UK, Japan, Canada, the euro area, and Sweden over the period 1988:01-2011:12. The results indicate that the effect of exchange rate uncertainty on equity flows is negative in the euro area, the UK and Sweden, and positive in Australia, whilst it is negative in all countries except Canada (where it is positive) in the case of bond flows. Under the assumption of risk aversion, this suggests that exchange rate uncertainty induces a home bias and causes investors to reduce their financing activities to maximise returns and minimize exposure to uncertainty. Furthermore, since exchange rate volatility and the variability of flows are interlinked, exchange rate or credit controls on these flows can be used to pursue economic and financial stability.
{"title":"Exchange Rate Uncertainty and International Portfolio Flows","authors":"G. Caporale, F. Menla Ali, Nicola Spagnolo","doi":"10.2139/ssrn.2264178","DOIUrl":"https://doi.org/10.2139/ssrn.2264178","url":null,"abstract":"This paper examines the impact of exchange rate uncertainty on different components of portfolio flows, namely equity and bond flows, as well as the dynamic linkages between exchange rate volatility and the variability of these two types of flows. Specifically, a bivariate GARCH-BEKK-in-mean model is estimated using bilateral data for the US vis-a-vis Australia, the UK, Japan, Canada, the euro area, and Sweden over the period 1988:01-2011:12. The results indicate that the effect of exchange rate uncertainty on equity flows is negative in the euro area, the UK and Sweden, and positive in Australia, whilst it is negative in all countries except Canada (where it is positive) in the case of bond flows. Under the assumption of risk aversion, this suggests that exchange rate uncertainty induces a home bias and causes investors to reduce their financing activities to maximise returns and minimize exposure to uncertainty. Furthermore, since exchange rate volatility and the variability of flows are interlinked, exchange rate or credit controls on these flows can be used to pursue economic and financial stability.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128003754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We examine applying a trend following methodology to global asset allocation between equities, bonds, commodities and real estate. This strategy offers substantial improvement in risk-adjusted performance compared to buy-and-hold portfolios and a superior method of asset allocation than risk parity. We believe the discipline of trend following overcomes many of the behavioural biases investors succumb to, such as regret and herding, and offers a solution to the inappropriate sequence of returns which can be problematic for decumulation portfolios. The other side of behavioural biases is that they may be exploited by investors: an example is momentum investing where herding leads to continuation of returns and has been identified across many assets. Momentum and trend following differ as the former is a relative concept and the latter absolute. Combining both can achieve the higher return levels associated with momentum portfolios with much reduced volatility and drawdowns due to trend following. Measures based on utility of a representative investor reinforce the superiority of combining trend following with momentum strategies. These techniques help address the sequencing of returns issue which can be a serious issue for financial planning.
{"title":"The Trend is Our Friend: Risk Parity, Momentum and Trend Following in Global Asset Allocation","authors":"A. Clare, Peter N. Smith, Steve Thomas","doi":"10.2139/ssrn.2126478","DOIUrl":"https://doi.org/10.2139/ssrn.2126478","url":null,"abstract":"We examine applying a trend following methodology to global asset allocation between equities, bonds, commodities and real estate. This strategy offers substantial improvement in risk-adjusted performance compared to buy-and-hold portfolios and a superior method of asset allocation than risk parity. We believe the discipline of trend following overcomes many of the behavioural biases investors succumb to, such as regret and herding, and offers a solution to the inappropriate sequence of returns which can be problematic for decumulation portfolios. The other side of behavioural biases is that they may be exploited by investors: an example is momentum investing where herding leads to continuation of returns and has been identified across many assets. Momentum and trend following differ as the former is a relative concept and the latter absolute. Combining both can achieve the higher return levels associated with momentum portfolios with much reduced volatility and drawdowns due to trend following. Measures based on utility of a representative investor reinforce the superiority of combining trend following with momentum strategies. These techniques help address the sequencing of returns issue which can be a serious issue for financial planning.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125704390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We use randomized interest rates, offered across eighty geographically distinct regions for twenty-nine months by Mexico’s largest microlender, to sketch the adjustment from a price change to a new equilibrium. Demand is elastic, and more so over the longer run; e.g. the dollars-borrowed elasticity increases from $-$1.1 in Year one to $-$2.9 in Year three. Credit bureau data do not show evidence of crowd-out, although this and other null results are imprecisely estimated. The lender’s profits increase, albeit noisily, starting in Year two. But competitors do not respond by reducing rates. These findings, together with other results, suggest that informational frictions are important, and that cutting rates furthered Compartamos Banco’s “double bottom line” of improving social welfare subject to a profitability constraint.
{"title":"Long-Run Price Elasticities of Demand for Credit: Evidence from a Countrywide Field Experiment in Mexico","authors":"Dean S. Karlan, Jonathan Zinman","doi":"10.2139/ssrn.2272723","DOIUrl":"https://doi.org/10.2139/ssrn.2272723","url":null,"abstract":"\u0000 We use randomized interest rates, offered across eighty geographically distinct regions for twenty-nine months by Mexico’s largest microlender, to sketch the adjustment from a price change to a new equilibrium. Demand is elastic, and more so over the longer run; e.g. the dollars-borrowed elasticity increases from $-$1.1 in Year one to $-$2.9 in Year three. Credit bureau data do not show evidence of crowd-out, although this and other null results are imprecisely estimated. The lender’s profits increase, albeit noisily, starting in Year two. But competitors do not respond by reducing rates. These findings, together with other results, suggest that informational frictions are important, and that cutting rates furthered Compartamos Banco’s “double bottom line” of improving social welfare subject to a profitability constraint.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134284946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-01DOI: 10.5089/9781484331460.001.A001
Yan Carrière-Swallow, Pablo Garcia-Silva
This paper recounts Chile’s experience with capital account policies since the 1990s. We present how two external shocks were confronted under very different macroeconomic and capital account frameworks. We show that during the 1997-98 Asian-LTCM-Russia crisis, a closed capital account and relatively rigid exchange rate severely constrained the monetary policy response to the shock, aggravating the fall in domestic demand. During the 2008-09 crisis, a full-fledged inflation targeting framework allowed the authorities to implement a significant countercyclical response. We argue that domestic stability considerations lay behind the policy regime switch toward capital account liberalization from 1999 onwards.
{"title":"Capital Account Policies in Chile Macro-Financial Considerations Along the Path to Liberalization","authors":"Yan Carrière-Swallow, Pablo Garcia-Silva","doi":"10.5089/9781484331460.001.A001","DOIUrl":"https://doi.org/10.5089/9781484331460.001.A001","url":null,"abstract":"This paper recounts Chile’s experience with capital account policies since the 1990s. We present how two external shocks were confronted under very different macroeconomic and capital account frameworks. We show that during the 1997-98 Asian-LTCM-Russia crisis, a closed capital account and relatively rigid exchange rate severely constrained the monetary policy response to the shock, aggravating the fall in domestic demand. During the 2008-09 crisis, a full-fledged inflation targeting framework allowed the authorities to implement a significant countercyclical response. We argue that domestic stability considerations lay behind the policy regime switch toward capital account liberalization from 1999 onwards.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120902193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
FDI and FII have become instruments of international economic integration and stimulation. Fast growing economies like Singapore, China, Korea etc have registered incredible growth at onset of FDI. Though US captures most of the FDI inflows, developing countries still account for significant growth of FDI and rise in FII. FDI not only gives access to foreign capital but also provides domestic countries with cutting edge technology, desired skill sets, tools of innovation and other complementary skills. The policies drafted to stimulate the flow of foreign capital in to India provided much needed impetus for India to emerge as an attractive destination for foreign investors. External factors such as global economic cues, FDI & FII, Exchange rate and Internal factors such as demand and supply, market cap, EPS generally drive and dictates the Indian stock market. The current paper makes an attempt to study the relationship and impact of FDI & FII on Indian stock market using statistical measures correlation coefficient and multi regression for 12 years data starting from 2001 to 2012. Sensex and Nifty were considered as the representative of stock market as they are the most popular Indian stock market indices.
{"title":"Impact of International Financial Flows on Indian Stock Markets – An Empirical Study","authors":"K.S.Venkateswara Kumar, V. R. Devi","doi":"10.2139/ssrn.2255404","DOIUrl":"https://doi.org/10.2139/ssrn.2255404","url":null,"abstract":"FDI and FII have become instruments of international economic integration and stimulation. Fast growing economies like Singapore, China, Korea etc have registered incredible growth at onset of FDI. Though US captures most of the FDI inflows, developing countries still account for significant growth of FDI and rise in FII. FDI not only gives access to foreign capital but also provides domestic countries with cutting edge technology, desired skill sets, tools of innovation and other complementary skills. The policies drafted to stimulate the flow of foreign capital in to India provided much needed impetus for India to emerge as an attractive destination for foreign investors. External factors such as global economic cues, FDI & FII, Exchange rate and Internal factors such as demand and supply, market cap, EPS generally drive and dictates the Indian stock market. The current paper makes an attempt to study the relationship and impact of FDI & FII on Indian stock market using statistical measures correlation coefficient and multi regression for 12 years data starting from 2001 to 2012. Sensex and Nifty were considered as the representative of stock market as they are the most popular Indian stock market indices.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114633648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper explores the influence of the foreign exchange rates variation on the returns and volatility of the stock prices from the Romanian capital market for the period of time January 2000 - December 2012. This period was split in four sub-samples corresponding to different stages of the Romanian financial markets evolution. The GARCH models employed in this investigation provided different results. For the transition period January 2000 - December 2007 we found no evidence of the foreign exchange market on the Bucharest Stock Exchange. During a period of time between the Romania’s adhesion to European Union and the announcement of Lehman Brothers’ bankruptcy the results indicate a significant impact of the foreign exchange rates on the stock returns. For the period from September 2008 to February 2010 we find that foreign exchange rates influenced not only the stock returns but also their volatility. However, between March 2010 and December 2012 the impact of the foreign exchange market on the Romanian capital market was limited to the returns. We conclude that influence of the foreign exchange rates variation on the returns and volatility of the stock prices depended on the factors such as the foreign capitals inflows, the global crisis effects and the perceptions of the national economy.
{"title":"Impact of the Foreign Exchange Rates Fluctuations on Returns and Volatility of the Bucharest Stock Exchange","authors":"R. Stefanescu, Ramona Dumitriu","doi":"10.2139/ssrn.2250937","DOIUrl":"https://doi.org/10.2139/ssrn.2250937","url":null,"abstract":"This paper explores the influence of the foreign exchange rates variation on the returns and volatility of the stock prices from the Romanian capital market for the period of time January 2000 - December 2012. This period was split in four sub-samples corresponding to different stages of the Romanian financial markets evolution. The GARCH models employed in this investigation provided different results. For the transition period January 2000 - December 2007 we found no evidence of the foreign exchange market on the Bucharest Stock Exchange. During a period of time between the Romania’s adhesion to European Union and the announcement of Lehman Brothers’ bankruptcy the results indicate a significant impact of the foreign exchange rates on the stock returns. For the period from September 2008 to February 2010 we find that foreign exchange rates influenced not only the stock returns but also their volatility. However, between March 2010 and December 2012 the impact of the foreign exchange market on the Romanian capital market was limited to the returns. We conclude that influence of the foreign exchange rates variation on the returns and volatility of the stock prices depended on the factors such as the foreign capitals inflows, the global crisis effects and the perceptions of the national economy.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123003385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper shows stylized facts on the rather large retrenchment of cross-border lending by Euro-area banks into emerging markets. The clearest case is Asia where Euro-area banks have massively lost market share. The reason, however, is not only related to their retrenching but also to the surge in lending from others banks, especially from Emerging Asia. As a second step, we investigate empirically the determinants of cross-border bank flows with a gravity model and differentiate across Euro-area, US and Asian banks. We find a number of home factors behind the retrenchment in lending. Two are common to all home countries analyzed, namely global risk aversion and trade which, respectively, discourage and foster banksA¢â‚¬â„¢ overseas lending. Other factors, however, are specific of Euro-area banks, such as the higher cost of funding which is found to discourage lending while poor economic growth tends to foster it. The latter result would indicate that economic weakness of the last few years may have actually cushioned Euro-area banksA¢â‚¬â„¢ deleveraging from emerging markets. All in all, Euroarea banksA¢â‚¬â„¢ cross border lending appear to be more dependent on their cycle (both in terms of growth and external cost of funding) when compared with US and Asian banks.
{"title":"Deleveraging from Emerging Markets: The Case of Euro-Area Banks","authors":"A. Garcia-Herrero, F. Chen","doi":"10.2139/ssrn.2253121","DOIUrl":"https://doi.org/10.2139/ssrn.2253121","url":null,"abstract":"This paper shows stylized facts on the rather large retrenchment of cross-border lending by Euro-area banks into emerging markets. The clearest case is Asia where Euro-area banks have massively lost market share. The reason, however, is not only related to their retrenching but also to the surge in lending from others banks, especially from Emerging Asia. As a second step, we investigate empirically the determinants of cross-border bank flows with a gravity model and differentiate across Euro-area, US and Asian banks. We find a number of home factors behind the retrenchment in lending. Two are common to all home countries analyzed, namely global risk aversion and trade which, respectively, discourage and foster banksA¢â‚¬â„¢ overseas lending. Other factors, however, are specific of Euro-area banks, such as the higher cost of funding which is found to discourage lending while poor economic growth tends to foster it. The latter result would indicate that economic weakness of the last few years may have actually cushioned Euro-area banksA¢â‚¬â„¢ deleveraging from emerging markets. All in all, Euroarea banksA¢â‚¬â„¢ cross border lending appear to be more dependent on their cycle (both in terms of growth and external cost of funding) when compared with US and Asian banks.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116655875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Usually a Libor Market model with a stochastic basis as speci ed for instance by Mercurio, F. (2009) lacks of a suitable calibration since there are not enough market quotes available. To this end we suggest to take a low parametric model which essentially is calibrated to the current OIS curve. Then, for the forwards we use a Libor Market model for which enough quoted instruments such as caps, swaptions, CMS or CMS spread options are available. The dependency of the OIS curve and the Libor model is given by the money market basis spread.The idea for taking a low factor model for the OIS dynamic is presented in Mercurio, F. and Xie, Z. (2012). But they also propose to use a low factor model for the forwards. In this note we combine a low factor dynamic for the OIS zero coupon bonds with the framework presented in Mercurio, F. (2009) for a multi-curve Libor Market model by a somewhat di erent modelling approach.We show how to obtain all model parameters and for the rst time an example of a calibration of a multi-curve Libor Market model using the current market quotes.
{"title":"Libor Market Model with Stochastic Basis - Calibration Using OIS Yield and Money Market Basis Spreads","authors":"Joerg Kienitz","doi":"10.2139/ssrn.2211175","DOIUrl":"https://doi.org/10.2139/ssrn.2211175","url":null,"abstract":"Usually a Libor Market model with a stochastic basis as speci ed for instance by Mercurio, F. (2009) lacks of a suitable calibration since there are not enough market quotes available. To this end we suggest to take a low parametric model which essentially is calibrated to the current OIS curve. Then, for the forwards we use a Libor Market model for which enough quoted instruments such as caps, swaptions, CMS or CMS spread options are available. The dependency of the OIS curve and the Libor model is given by the money market basis spread.The idea for taking a low factor model for the OIS dynamic is presented in Mercurio, F. and Xie, Z. (2012). But they also propose to use a low factor model for the forwards. In this note we combine a low factor dynamic for the OIS zero coupon bonds with the framework presented in Mercurio, F. (2009) for a multi-curve Libor Market model by a somewhat di erent modelling approach.We show how to obtain all model parameters and for the rst time an example of a calibration of a multi-curve Libor Market model using the current market quotes.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126504474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper analyzes dual liquidity crises, i.e. funding crises which encompass the private and the public sector, and the shock absorbing capacity of central banks within a closed system of financial accounts. We find that a central bank that operates under a flexible exchange rate is most effective in containing a dual liquidity crisis. A central bank of a euro area type monetary union has a similar capacity as long as the integrity of the union is beyond doubt. By contrast, within any fixed exchange rate system the availability of inter‐central bank credit determines the elasticity of a central bank in providing liquidity. Finally, domestic constraints, i.e. collateral rules, risk taking ability or legal prohibitions, can limit the elasticity of the central bank's response to liquidity shocks.
{"title":"Dual Liquidity Crises - A Financial Accounts Framework","authors":"U. Bindseil, A. Winkler","doi":"10.1111/roie.12026","DOIUrl":"https://doi.org/10.1111/roie.12026","url":null,"abstract":"This paper analyzes dual liquidity crises, i.e. funding crises which encompass the private and the public sector, and the shock absorbing capacity of central banks within a closed system of financial accounts. We find that a central bank that operates under a flexible exchange rate is most effective in containing a dual liquidity crisis. A central bank of a euro area type monetary union has a similar capacity as long as the integrity of the union is beyond doubt. By contrast, within any fixed exchange rate system the availability of inter‐central bank credit determines the elasticity of a central bank in providing liquidity. Finally, domestic constraints, i.e. collateral rules, risk taking ability or legal prohibitions, can limit the elasticity of the central bank's response to liquidity shocks.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121087744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We develop a structural gravity model that introduces scale effects in bilateral trade. Scale effects and incomplete passthrough give two channels through which exchange rates have real effects on trade patterns. Estimates from Canadian provincial trade data identify these effects through their interaction with the US border. We find statistically and quantitatively significant economies of scale in cross-border trade in almost 2/3 of sectors. Real effects of exchange rate changes on trade are found for 12 of 19 goods sectors and none of 9 services sectors.
{"title":"Gravity, Scale and Exchange Rates","authors":"James E. Anderson, Mykyta Vesselovsky, Y. Yotov","doi":"10.3386/W18807","DOIUrl":"https://doi.org/10.3386/W18807","url":null,"abstract":"We develop a structural gravity model that introduces scale effects in bilateral trade. Scale effects and incomplete passthrough give two channels through which exchange rates have real effects on trade patterns. Estimates from Canadian provincial trade data identify these effects through their interaction with the US border. We find statistically and quantitatively significant economies of scale in cross-border trade in almost 2/3 of sectors. Real effects of exchange rate changes on trade are found for 12 of 19 goods sectors and none of 9 services sectors.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"15 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126290445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}