[Revision Requested (2nd round) by RFS]
Abstract: We examine the role of funding frictions for international investments. Guided by an international CAPM with funding constraints, we infer the magnitude and the implicit cost of barriers that impede the funding of cross-border positions from the dispersion in the performance of betting-against-beta portfolios across countries. We find such cross-border funding barriers to be economically significant. Despite an overall downward trend, our indicator reveals periods when cross-border funding frictions become more severe. These periods coincide with increases in market segmentation documented by the literature but not explained by the variation in other international investment barriers.
Accepted for presentation in: Western Finance Association (WFA), California, US 2019; West Coast Workshop in International Finance (WCWIF), Seattle, US 2019; EMG-ECB Workshop on International Capital Flows, London, UK 2018; Fed/UMD Short-Term Funding Markets Conference, Washington DC, USA 2018; Annual Financial Market Liquidity Conference, Budapest, Hungary2017; Financial Management Association International (FMA), Boston, USA 2017; Northen Finance Association (NFA), Halifax, Canada 2017; International Workshop on Financial System Architecture & Stability (IWFSAS), Montreal, Canada 2017; International Finance and Banking Society (IFABS), Oxford, UK 2017;
[Forthcoming at JFQA]
Abstract: We propose a simple metric to measure two aspects of integration, namely economic and financial integration, and then examine their short- and long-run dynamics using a smooth-transition dynamic conditional correlation model that allows for trends in correlation while controlling for volatility. Developed countries exhibit greater degrees of financial and economic integration than emerging countries, but the integration gap is smaller for economic than for financial integration. While the financial integration gap between developed and emerging markets remains large throughout the sample period, emerging economies have caught up with their developed counterparts in economic integration in recent years.
Accepted for presentation in: Northern Finance Association (NFA), Vancouver, Canada 2019; Telfer Annual Conference on Accounting and Finance, Ottawa, Canada 2019 ; Financial Management Association (FMA), San Diego, US 2018; China International Conference in Finance (CICF), Tianjin, China 2018; Asian Finance Association (AsianFA) 2018, Tokyo, Japan 2018; Finance Down Under, Melbourne, Australia 2018; FMA Asia Pacific, Hong Kong, 2018; Conference on Asia-Pacific Financial Markets, Seoul, Korea 2017
Abstract: We test a fully conditional, international, intertemporal asset-pricing model. With a large cross-section of developed and emerging markets, we find support for a constant price of currency risk but not for intertemporal risk. Intertemporal risk is priced only conditionally, when time-variation is introduced. This requires disentangling the two, as both factors are likely proxies of the state variables that affect asset prices over time. The fit of the model is mainly improved by currency risk rather than intertemporal risk. However, a model with residual time-varying intertemporal risk in addition to the other factors statistically outperforms the one with currency risk.
Accepted for presentation in: Financial Management Association International (FMA), Florida, USA 2015; European Finance Association (EFA), Vienna, Austria 2015; International Conference of the French Finance Association (AFFI), Cergy, France 2015; European Financial Management Association (EFMA), Breukelen, Netherlands 2015; Midwest Finance Association (MFA), Chicago, USA 2015
available on SSRN (listed on SSRN's Top Ten download list for: Emerging Markets: Finance eJournal). Previously circulated as "Pricing Together Developed and Emerging Markets with Multiple Risk Factors".
Abstract: We estimate in a linear regression framework an asset pricing model that is both intertemporal and fully conditional. Using time-varying quantities of risk as regressors, we focus our analysis on the time-varying prices of risk to capture investors’ assessment of the shift in investment opportunities through the economic cycle. Separately with each information variable, we show that the reward for intertemporal risk is decreasing during recessions with the proxy that negatively predicts market returns. This evidence stands opposite to our findings for the compensation for market risk. When combining all information variables we find that in statistical terms the conditional price for intertemporal risk with this proxy is relatively more significant than the price of market risk at the end of an expansion and during recessions. Thus differences in the two sources of risk are heightened in this phase of the cycle since holding assets with weak or negative correlation with the market becomes crucial especially at these times. The relative importance of intertemporal risk in recessions is also supported by the reduction in the unexplained portion of the asset pricing model for those periods.
Accepted for presentation in: Econometric Society World Congress, Montreal, Canada 2015; European Financial Management Association (EFMA), Breukelen, Netherlands 2015
Government's Real Estate Interventions and the Stock Market (Karolina Krystyniak)
Abstract: We study the investment choices of institutional investors in response to the Canadian federal and provincial governments' interventions in the real estate market, which were introduced following the recent rapid increase in housing prices and were aimed at increasing affordability. We find that the Canadian mutual funds decreased their ownership in equities during the intervention months with no short-term reversal. This behavior is more observed among active mutual funds, especially investing in the assets of Canadian origin. Interestingly, we find that these investors increased their ownership in the financial sector stocks without significant changes to their real estate equity holdings. Our results suggest that the federal government’s interventions affecting the riskiness of the financial stocks were more effective than the provincial ones focused on the real estate returns.
Drivers of Economic and Financial Integration: A Machine Learning Approach (Lilian Ng, Bruno Solnik)
[draft will be available soon]
Abstract: This study proposes a new approach to measuring the statistical importance of variables that drive the evolution of global economic and financial integration across developed (DEV) and emerging (EMG) markets, as reported in a recent study by Akbari, Ng, and Solnik (2019). Based on maximizing information entropy, our approach allows for nonlinear relationships, corrects for over-fitting, and is less prone to noise. Results suggest that the source of integration is more economic than financial for EMG markets, whereas it is more financial than economic for DEV countries. Overall, the integration process evolves at a gradual pace, primarily fueled by fundamental economic and financial drivers rather than by cyclical or short-term occurrences.