The ADR Shadow Exchange Rate as an Early Warning Indicator for Currency Crises
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Journal of Banking and Finance,
No. 11,
2009
Abstract
We develop an indicator for currency crisis risk using price spreads between American Depositary Receipts (ADRs) and their underlyings. This risk measure represents the mean exchange rate ADR investors expect after a potential currency crisis or realignment. It makes crisis prediction possible on a daily basis as depreciation expectations are reflected in ADR market prices. Using daily data, we analyze the impact of several risk drivers related to standard currency crisis theories and find that ADR investors perceive higher currency crisis risk when export commodity prices fall, trading partners’ currencies depreciate, sovereign yield spreads increase, or interest rate spreads widen.
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International Banking and the Allocation of Risk
Claudia M. Buch
IAW Discussion Paper No. 32,
2007
Abstract
Macroeconomic risks could magnify individual bank risk. Mitigating the influence of economy-wide risks on banks could therefore be very important to maintain a smooth-running banking system. In this paper, we explore the extent to which macroeconomic risks affect banks. We use a bank-level dataset on over 2,000 banks worldwide for the years 1995-2002 to study the effect of macroeconomic volatility, the openness of the banking system, and banking regulations on bank risks. Our measure of bank risk is the volatility of banks' pre-tax profits. We find that macroeconomic volatility increases banks' profit volatility and that international openness of the banking system lowers bank risk. We find no impact of banking regulation on profit volatility. Our findings suggest that if policymakers want to lower bank risk, they should seek to lower macroeconomic volatility as well as increase openness in the banking system.
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Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
IWH Discussion Papers,
No. 17,
2007
Abstract
In this paper we test the ability of three of the most popular methods to forecast the South African currency crisis of June 2006. In particular we are interested in the out-ofsample performance of these methods. Thus, we choose the latest crisis to conduct an out-of-sample experiment. In sum, the signals approach was not able to forecast the outof- sample crisis of correctly; the probit approach was able to predict the crisis but just with models, that were based on raw data. Employing a Markov-regime-switching approach also allows to predict the out-of-sample crisis. The answer to the question of which method made the run in forecasting the June 2006 currency crisis is: the Markovswitching approach, since it called most of the pre-crisis periods correctly. However, the “victory” is not straightforward. In-sample, the probit models perform remarkably well and it is also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. It can, therefore, not be recommended to focus on one approach only when evaluating the risk for currency crises.
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