We analyze trading dynamics as successive high-frequency trading (HFT) firms begin to trade stocks in an equity market. Entrants compete with incumbents for volume, and there is crowding out.
Cochrane and Piazzesi (2005) show that (i) lagged forward rates improve the predictability of annual bond returns, adding to current forward rates, and that (ii) a Markovian model for monthly forward rates cannot generate the pattern of predictability in annual returns.
The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast monthly and quarterly oil prices. There also has been increased interest in the link between financial markets and oil markets, including the question of whether financial market information helps forecast the real price of oil in physical markets.
This paper studies to what extent the experiences of households shape their willingness to take financial risks. It follows the methodology of Malmendier and Nagel (2011) and applies it to a novel data set on household finances covering euro area households.
Until recently, there have been few efforts to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada’s Credit Rating Assessment Group (CRAG) has developed a comprehensive database of sovereign defaults posted on the Bank of Canada’s website.
This paper examines the impact of product market competition and corporate governance on the cost of debt financing and the use of bond covenants. We find that more anti-takeover provisions are associated with a lower cost of debt only in competitive industries.
The end result of major sporting events has been shown to affect next-day stock returns through shifts in investor mood. By studying the soccer matches that led to the elimination of France and Italy from the 2010 FIFA World Cup, we show that mood-related pricing effects can materialize as sporting events unfold.
This paper deals with the estimation of the risk-return trade-off. We use a MIDAS model for the conditional variance and allow for possible switches in the risk-return relation through a Markov-switching specification.
We present CoMargin, a new methodology to estimate collateral requirements for central counterparties (CCPs) in derivatives markets. CoMargin depends on both the tail risk of a given market participant and its interdependence with other participants.