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        The diffusion of corporate governance to emerging markets: Evaluating two dimensions of investor heterogeneity

        Kim, W.,Sung, T.,Wei, S.J. Butterworth Scientific Limited 2017 Journal of international money and finance Vol.70 No.-

        This study investigates whether foreign institutional investors can enhance shareholder value in emerging markets. We pay special attention to two dimensions of investor heterogeneity: whether investors declare themselves to be activists, and whether activists come from countries with strong traditions of investor activism (identified by the incidence of hostile takeovers in their respective home countries). First, using an event study approach with regard to announcements of block purchases by foreign institutional investors in Korea, we find that stock prices increase only when foreign institutional investors declare themselves to be activists (increasing on average by 3% over a 20-day window). Second, we find that positive stock price reactions are more pronounced when the activist investors come from source countries with strong traditions of investor activism (increasing on average by 7% over a 20-day window). Third, we find that target firms are more likely to reduce cash holdings, raise leverage ratios, and peg dividend payouts, stock repurchases, and CEO turnover more closely to changes in earnings, but only if foreign activists come from countries with strong traditions of activism. We address possible selection bias by propensity score matching.

      • Can credit spreads help predict a yield curve?

        Abdymomunov, A.,Kang, K.H.,Kim, K.J. Butterworth Scientific Limited 2016 JOURNAL OF INTERNATIONAL MONEY AND FINANCE - Vol.64 No.-

        In this paper we investigate whether information in credit spreads helps improve the forecasts of government bond yields. To do this, we propose and estimate a joint dynamic Nelson-Siegel (DNS) model of the U.S. Treasury yield curve and the credit spread curve. The model accounts for the possibility of regime changes in yield curve dynamics and incorporates a zero lower bound constraint on yields. We show that our joint model produces more accurate out-of-sample density forecasts of bond yields than does the yield-only DNS model. In addition, we demonstrate that incorporating regime changes and a zero lower bound constraint is essential for forecast improvements.

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