S ISTEMA N ACIONAL DE G ESTIÓN DE R IESGOS
4.2. Reestructuración: el Sistema Nacional de Gestión de Riesgos en Ecuador a partir de 2007.
4.2.2. La gestión de riesgos en la nueva carta constitucional del Ecuador
interbank spreads. This is possible because the customers have no access to the interbank market. Customer trades influence the dealer’s order-placing strategy such that a customer purchase leads to subsequent purchases by the dealer in excess of inventory control. Instead of using the private information in the pricing strategy, which is very transparent, they use their private infor- mation in their order placement strategy, which is much less transparent.
The identity of counterparts and their perceived level of informativeness do not influence pric- ing strategy. This is somewhat surprising given the weight in the literature on protection against better-informed dealers (e.g. R¨oell, 1990). Spreads do widen with the size of the trade, but whether the counterpart is perceived to be well informed or not does not matter for spreads. Consequently, the dealers do not seem to price discriminate in interbank trading. A possible explanation for this finding is that dealers learn from trading with informed counterparts and is able to use this infor- mation profitably. In the foreign exchange market, it may be possible to exploit this information since transparency is low. To attract informative trades, dealers may thus have an incentive to give informed dealers attractive bid and ask quotes. In this sense, dealers buy information from informed dealers. However, we do not find evidence that trading with informed counterparts affect order placement strategy. The dealers do not take the same positions as their informed counter- parts. The finding that spreads do not depend on the identity of the counterpart, is in line with surveys showing that spreads are determined by market norms.
The rest of the paper is organized as follows. Section 3.2 describes the foreign exchange market in relation to customer trading and private information, drawing on some recent surveys. In section 3.3 we adapt the Madhavan and Smidt (1991) model to incorporate customer trading and different precision of information. Section 3.4 provide a description of our data set. Section 3.5 presents the results, while section 3.6 concludes.
3.2
Customer orders and private information in foreign exchange
We first describe the role of customer trades in foreign exchange markets in more detail (section 3.2.1). In section 3.2.2 we then describe the trading environment of dealers in the interbank foreign exchange market. The trading environment has implications both for identification of counterpart and for trading strategy.
3.2.1 The importance of customer orders
A customer is an industrial corporation, a non-dealer financial institution or a professional specu- lator that demands the dealer’s services in the foreign exchange market. Banks function as inter- mediaries for customers, and executes the customers’ orders in the interbank market.
The spot market has about 40% of the average daily total turnover of USD 1.5 trillion in the foreign exchange market. Customer trading accounts for only 20–30% of total spot trading, while the interbank market account for the remaining 70–80% (see BIS, 1993, 1996, 1998). In this paper we study a DEM/USD dealer and a NOK/DEM dealer operating out of Norway. The
DEM/USD dealer has only limited customer orders, while customer orders are very important for the NOK/DEM dealer.
The importance that dealers attach to customer trading may seem at odds with customer or- ders’ low share of total volume. However, the trading of customers is the underlying source of demand for currency. The “hot-potato-trading” story of Lyons (1997) may shed some light on why interbank trading is so much larger than customer trading. Imagine that a dealer initially is holding his preferred inventory position when a large customer order arrives at his desk. Since customer orders usually are larger than ordinary interbank trades, the dealer split the order into several smaller orders, which are passed on to other interbank dealers. These dealers will also adjust their inventory position after the trade, and the initial customer trade is passed on further to other dealers as a “hot potato.” The resulting interbank trading volume ends up being much larger than the initial customer order.
There are two reasons for why customer trading is important in the foreign exchange market. First, dealers can quote a wider spread on these trades than what is normal in interbank trading. In a study of a large DEM/USD dealer, Yao (1998b) finds that 75% of the dealer’s total profits came from trading with customers although customer trading represented only 13% of total trad- ing volume. Dealers are able to quote wider spreads to customers since customers do not have access to the interbank market. Furthermore, the customers are in a bad bargaining position versus the banks due to the low transparency of the foreign exchange market. Customers can not see interbank prices or order flow.
Second, customer order flows are the most important source of private information in the foreign exchange market. In what sense are customer trades informative? Order flow may be seen as expectations backed by money: the “voting” of the market (e.g. Lyons, 2001). By observing customer order flows, the dealers obtain a signal of the customers’ expectations. Customer order flow may be informative about fundamental values through three channels: i Customers may
have private information (see different signals) on fundamental value; ii customers may use
different “models” to evaluate new information; or iii customers may use different probability
distributions to evaluate new information.
All three may be a valid description of the foreign exchange market. Some customers may have better capabilities for collecting, analyzing, and interpreting information. Furthermore, new public information of a given kind may be interpreted differently by the customer sector at different points in time. Customer trading may then give a dealer information on how the customer sector evaluate a new piece of public information, or in the words of the dealers — information on the “market sentiment”.
An empirical result supporting the importance of customer trades is found in Rime (2000). Rime studies how trading by different sectors in the Norwegian market affect weekly exchange rate changes. He finds that the strongest effect comes from the trading of customers, and that this effect is permanent. The interviews with London based dealers reported in Heere (1999) confirm that large customers’ views on the market is valuable information.
3.2. CUSTOMER ORDERS AND PRIVATE INFORMATION IN FOREIGN EXCHANGE 67