Refine
Document Type
- Working Paper (9)
Has Fulltext
- yes (9)
Is part of the Bibliography
- no (9)
Keywords
- Wertpapiermarkt (9) (remove)
Institute
Deutsche Börse AG plans to introduce a system (Xetra Best) allowing brokers and broker-dealers to internalize the orders of retail customers. Further, Xetra Best supports payment for order flow arrangements. Both internalization and payment for order flow may be detrimental to market quality. This paper discusses advantages and disadvantages of these arrangements. It draws on experiences made in the US. We derive policy implications that aim at a more stringent interpretation of "best execution", and at higher transparency. Klassifikation: G10, G14
In this paper we study the benefits derived from international diversification of stock portfolios from German and Hungarian point of view. In contrast to the German capital market, which is one of the largest in the world, the Hungarian Stock Exchange is an emerging market. The Hungarian stock market is highly volatile, high returns are often accompanied by extremely large risk. Therefore, there is a good potential for Hungarian investors to realize substantial benefits in terms of risk reduction by creating multi-currency portfolios. The paper gives evidence on the above me ntioned benefits for both countries by examining the performance of several ex ante portfolio strategies. In order to control the currency risk, different types of hedging approaches are implemented.
Who knows what when? : The information content of pre-IPO market prices : [Version March/June 2002]
(2002)
To resolve the IPO underpricing puzzle it is essential to analyze who knows what when during the issuing process. In Germany, broker-dealers make a market in IPOs during the subscription period. We examine these pre-issue prices and find that they are highly informative. They are closer to the first price subsequently established on the exchange than both the midpoint of the bookbuilding range and the offer price. The pre-issue prices explain a large part of the underpricing left unexplained by other variables. The results imply that information asymmetries are much lower than the observed variance of underpricing suggests.
To resolve the IPO underpricing puzzle it is essential to analyze who knows what when during the issuing process. In Germany, broker-dealers make a market in IPOs during the subscription period. We examine these pre-issue prices and find that they are highly informative. They are closer to the first price subsequently established on the exchange than both the midpoint of the bookbuilding range and the offer price. The pre-issue prices explain a large part of the underpricing left unexplained by other variables. The results imply that information asymmetries are much lower than the observed variance of underpricing suggests.
We propose a new framework for modelling time dependence in duration processes on financial markets. The well known autoregressive conditional duration (ACD) approach introduced by Engle and Russell (1998) will be extended in a way that allows the conditional expectation of the duration process to depend on an unobservable stochastic process, which is modelled via a Markov chain. The Markov switching ACD model (MSACD) is a very flexible tool for description and forecasting of financial duration processes. In addition the introduction of an unobservable, discrete valued regime variable can be justified in the light of recent market microstructure theories. In an empirical application we show, that the MSACD approach is able to capture several specific characteristics of inter trade durations while alternative ACD models fail. Furthermore, we use the MSACD to test implications of a sequential trade model.
Competition for order flow can be characterized as a coordination game with multiple equilibria. Analyzing competition between dealer markets and a crossing network, we show that the crossing network is more stable for lower traders’ disutilities from unexecuted orders. By introducing private information, we prove existence of a unique equilibrium with market consolidation. Assets with low volatility and large volumes are traded on crossing networks, others on dealer markets. Efficiency requires more assets to be traded on crossing networks. If traders’ disutilities differ sufficiently, a unique equilibrium with market fragmentation exists. Low disutility traders use the crossing network while high disutility traders use the dealer market. The crossing network’s market share is inefficiently small.
Algorithmic trading engines versus human traders – do they behave different in securities markets?
(2009)
After exchanges and alternative trading venues have introduced electronic execution mechanisms worldwide, the focus of the securities trading industry shifted to the use of fully electronic trading engines by banks, brokers and their institutional customers. These Algorithmic Trading engines enable order submissions without human intervention based on quantitative models applying historical and real-time market data. Although there is a widespread discussion on the pros and cons of Algorithmic Trading and on its impact on market volatility and market quality, little is known on how algorithms actually place their orders in the market and whether and in which respect this differs form other order submissions. Based on a dataset that – for the first time – includes a specific flag to enable the identification of orders submitted by Algorithmic Trading engines, the paper investigates the extent of Algorithmic Trading activity and specifically their order placement strategies in comparison to human traders in the Xetra trading system. It is shown that Algorithmic Trading has become a relevant part of overall market activity and that Algorithmic Trading engines fundamentally differ from human traders in their order submission, modification and deletion behavior as they exploit real-time market data and latest market movements.
We characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. Our analysis is based on a unique data set of high-frequency futures returns for each of the markets. We find that news surprises produce conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. The details of the linkages are particularly intriguing as regards equity markets. We show that equity markets react differently to the same news depending on the state of the economy, with bad news having a positive impact during expansions and the traditionally-expected negative impact during recessions. We rationalize this by temporal variation in the competing "cash flow" and "discount rate" effects for equity valuation. This finding helps explain the time-varying correlation between stock and bond returns, and the relatively small equity market news effect when averaged across expansions and recessions. Lastly, relying on the pronounced heteroskedasticity in the high-frequency data, we document important contemporaneous linkages across all markets and countries over-and-above the direct news announcement effects. JEL Klassifikation: F3, F4, G1, C5