A pure martingale dual for multiple stopping

In this paper, we present a dual representation for the multiple stopping problem, hence multiple exercise options. As such, it is a natural generalization of the method in Rogers (Math. Finance 12:271–286, 2002) and Haugh and Kogan (Oper. Res. 52:258–270, 2004) for the standard stopping problem for American options. We term this representation a ‘pure martingale’ dual as it is solely expressed in terms of an infimum over martingales rather than an infimum over martingales and stopping times as in Meinshausen and Hambly (Math. Finance 14:557–583, 2004). For the multiple dual representation, we propose Monte Carlo simulation methods which require only one degree of nesting.     

The Value of Investment Banking Relationships: Evidence from the Collapse of Lehman Brothers

We examine the long‐standing question of whether firms derive value from investment bank relationships by studying how the Lehman collapse affected industrial firms that received underwriting, advisory, analyst, and market‐making services from Lehman. Equity underwriting clients experienced an abnormal return of around ?5%, on average, in the 7 days surrounding Lehman's bankruptcy, amounting to $23 billion in aggregate risk‐adjusted losses. Losses were especially severe for companies that had stronger and broader security underwriting relationships with Lehman or were smaller, younger, and more financially constrained. Other client groups were not adversely affected.     

The angel investment decision: insights from Australian business angels

While much has been written about the investment criteria of business angels, few studies explore why these particular criteria are important to them. The Australian context has a diverse range of actors along with complex jurisdictional arrangements, making for an interesting background for investigation of the angel finance phenomenon. We examine 12 business angels in the rapidly changing Australian context and use nine corroborating participants to validate responses and identify four key drivers – personal experience, trust, the need to contribute and realistic expectations – that influence business angels during the initial investment process.     

Political Connections and the Informativeness of Insider Trades

We analyze the trading of corporate insiders at leading financial institutions during the 2007 to 2009 financial crisis. We find strong evidence of a relation between political connections and informed trading during the period in which Troubled Asset Relief Program (TARP) funds were disbursed, and that the relation is most pronounced among corporate insiders with recent direct connections. Notably, we find evidence of abnormal trading by politically connected insiders 30 days in advance of TARP infusions, and that these trades anticipate the market reaction to the infusion. Our results suggest that political connections can facilitate opportunistic behavior by corporate insiders.     

When fund management skill is more valuable?

Does fund management skill allow managers to identify mispriced securities more accurately and thereby make better portfolio choices resulting in superior fund performance when noise trading – a natural setting to detect skill – is more prevalent? We find skilled fund managers with superior past performance to generate persistent excess risk‐adjusted returns and experience significant capital inflows, especially in high sentiment times, high stock dispersion, and economic expansion states when price signals are noisier. This pattern persists after we control for lucky bias, using the ‘false discovery rate’ approach, which permits disentangling manager ‘skill’ from ‘luck.’     

Optimizing a portfolio of mean-reverting assets with transaction costs via a feedforward neural network

Optimizing a portfolio of mean-reverting assets under transaction costs and a finite horizon is severely constrained by the curse of high dimensionality. To overcome the exponential barrier, we develop an efficient, scalable algorithm by employing a feedforward neural network. A novel concept is to apply HJB equations as an advanced start for the neural network. Empirical tests with several practical examples, including a portfolio of 48 correlated pair trades over 50 time steps, show the advantages of the approach in a high-dimensional setting. We conjecture that other financial optimization problems are amenable to similar approaches.     

Tax-savvy executives

Review of Accounting Studies - We investigate why firms include individuals with significant professional tax experience on their senior management team and the consequences associated with the...     

Properties that Sell at or above Listing Price: Strategic Pricing,Better Broker or Just Dumb Luck?

The Journal of Real Estate Finance and Economics - A surprisingly large number of houses sell above listing prices in a wide range of markets and in all market conditions. The question is: why do...     

Yield curves from different bond data sets

Review of Derivatives Research - It is well known that zero coupon rates are not observable variables. Their estimation process may be cumbersome and time consuming. We explore the extent to which...     

The relationship between aggregate managed fund flows and share market returns in Australia

This paper presents the relation between aggregate equity managed fund flows and excess share market returns in Australia and evaluates the issue of causality therein. Using a large data set of 3613 managed funds for the period January 1990 to September 2009, the paper addresses two important questions yet to be addressed within the Australian market: First, for research question one; it aims to determine whether a positive feedback process exists between aggregate equity managed fund flows and excess share market returns. Second, for research question two; it examines the relation between unexpected aggregate equity managed fund flows and excess share market returns. The empirical findings contribute to the literature by confirming, in Australia, aggregate equity managed fund flows do not Granger-cause excess share market returns; however, compelling evidence reveals that share market returns do in fact Granger-cause managed fund flows. These findings support those of Edwards and Zhang (1998), who find similar evidence for the United States over the sample period 1961–1996. In addition, aggregate equity managed fund flows are found to be positively related to excess share market returns, indicating herding behavior.