Stock Price Dynamics and Option Valuations under Volatility Feedback Effect

According to the volatility feedback effect, an unexpected increase in squared volatility leads to an immediate decline in the price-dividend ratio. In this paper, we consider the properties of stock price dynamics and option valuations under the volatility feedback effect by modeling the joint dynamics of stock price, dividends, and volatility in continuous time. Most importantly, our model predicts the negative effect of an increase in squared return volatility on the value of deep-in-the-money call options and, furthermore, attempts to explain the volatility puzzle. We theoretically demonstrate a mechanism by which the market price of diffusion return risk, or an equity risk-premium, affects option prices and empirically illustrate how to identify that mechanism using forward-looking information on option contracts. Our theoretical and empirical results support the relevance of the volatility feedback effect. Overall, the results indicate that the prevailing practice of ignoring the time-varying dividend yield in option pricing can lead to oversimplification of the stock market dynamics.Comment: 23 pages, 7 figures, 2 table

Uncertainty, Flexibility, Valuation & Design: How 21st Century Information & Knowledge Can Improve 21st Century Urban Development

The 21st century presents humankind with perhaps its greatest challenge since our species almost went extinct some 70,000 years ago in Africa. A big part of meeting that challenge lies in how the urbanization of three billion additional people (equal to the entire world population in 1960) will be accomplished between now and mid-century, on top of necessary renewal and renovation of the earth‘s existing cities. China alone will urbanize 300 million more people between now and 2030. (That is equal to the entire population of the U.S., the world‘s third most populous country, and just 20 years!) This is development on a scale and pace that is an order of magnitude greater than the past century, in a world resource and climate environment that is near the breaking point, in a context of greater technological, financial, and economic uncertainty than ever before. To meet this challenge will require that we use the best tools in our kit, including ones that have become available to us only in this new knowledge and information-based century. Technology got us here, and technology will be key to getting us through. In this paper we will review and synthesize two important methodological developments in our profession that can help infrastructure and real estate physical development (i.e., urban development) to be accomplished more effectively and efficiently in a world of uncertainty. The first methodological development is the honing of real options theory and methodology for practical application to identify and evaluate sources of flexibility in the design and operation of capital projects. The second development is the marriage of digital data compilation of property transactions records with the honing of econometric analysis methodology to allow the practical quantification of real estate and infrastructure asset price dynamics. We argue that this latter development provides the key input to the former development, enabling a much more complete and rigorous treatment of design and evaluation problems for urban development. We also argue that an engineering systems approach to option modeling is likely to find better traction in actual professional practice than the economic theoretical models that have dominated the academic literature. We provide a concrete example by applying the suggested approach to the Songdo New City development in Korea. The result can be better informed design and valuation, more efficient urban development laced with greater flexibility to avoid the worst down-side outcomes and to take advantage of the best up-side opportunities, saving vital resources of capital, land, raw materials, and energy. Finally, we argue that a global, thought-leadership institution such as the RICS can and should play a leadership role in supporting and promulgating the new information bases and interdisciplinary educational formations (property, land, construction) that must underpin the successful dissemination of such 21st century tools of analysis

Fair value accounting and financial stability

Accounting standard setters are considering the wider use of fair value accounting. This paper focuses on the financial stability implications of a move in the banking sector from the current accounting framework to full fair value accounting. A simulation exercise is performed on how various external shocks affect the balance sheet of an average European bank under the two frameworks. The paper further investigates the impact of the alternative framework on the main balance sheet items, and the interaction with banks’ risk management, supervisory tools and statistical requirements. It also examines how the application of fair value accounting to banks’ trading book has impacted their share price volatility. It is concluded that the introduction of full fair value accounting could have a significant effect in terms of income volatility, procyclicality of bank lending and more generally financial stability. Hence, any move towards this alternative accounting framework should be gradual.accounting, banks, fair value, financial regulation, financial reporting, financial stability, risk management.

Corporate ‘excesses’ and financial market dynamics

The recent corporate failures in the US and in Europe have considerably damaged investors’ confidence in the functioning of financial markets and the ability of the regulatory framework to safeguard their interest and prevent fraud. These episodes demonstrate that market failures exist, which can undermine the effectiveness of market discipline to ensure the appropriate allocation of capital. Specifically the paper considers four particular features of financial markets that may have given rise to market failures: (a) perverse incentives/conflict of interests, (b) destabilising trading/investment strategies, (c) lack of disclosure/transparency and (d) concentrated versus fragmented ownership structures. The paper reviews the theoretical arguments and empirical evidence related to these four possible types of market failures, illustrating these with evidence drawn from the most recent corporate scandals. The last part of the paper is devoted to the policy responses both in the US and in Europe to prevent these failures.

The History of the Quantitative Methods in Finance Conference Series. 1992-2007

This report charts the history of the Quantitative Methods in Finance (QMF) conference from its beginning in 1993 to the 15th conference in 2007. It lists alphabetically the 1037 speakers who presented at all 15 conferences and the titles of their papers.

Dealers' hedging of interest rate options in the U.S. dollar fixed-income market

Despite investors' willingness to hold a variety of financial assets and risks, a significant share of interest rate options exposures remains in the hands of dealers. This concentration of risk makes the interest rate options market an ideal place to explore the effects of dealers' dynamic hedging on underlying markets. Using data from a global survey of derivatives dealers and other sources, this article estimates the potential impact of dynamic hedging by interest rate options dealers on the fixed-income market. The author finds that for short-term maturities, turnover volume in the most liquid hedging instruments is more than large enough to absorb dealers' dynamic hedges. For medium-term maturities, however, an unusually large interest rate shock could lead to hedging difficulties.Hedging (Finance) ; Options (Finance)

A non-arbitrage liquidity model with observable parameters for derivatives

We develop a parameterised model for liquidity effects arising from the trading in an asset. Liquidity is defined via a combination of a trader's individual transaction cost and a price slippage impact, which is felt by all market participants. The chosen definition allows liquidity to be observable in a centralised order-book of an asset as is usually provided in most non-specialist exchanges. The discrete-time version of the model is based on the CRR binomial tree and in the appropriate continuous-time limits we derive various nonlinear partial differential equations. Both versions can be directly applied to the pricing and hedging of options; the nonlinear nature of liquidity leads to natural bid-ask spreads that are based on the liquidity of the market for the underlying and the existence of (super-)replication strategies. We test and calibrate our model set-up empirically with high-frequency data of German blue chips and discuss further extensions to the model, including stochastic liquidity

A Classical Model of Speculative Asset Price Dynamics

In retrospect, the experimental findings on competitive market behavior called for a revival of the old, classical, view of competition as a collective higgling and bargaining pro-cess (as opposed to price-taking behaviors) founded on reservation prices (in place of the utility function). In this paper, we specialize the classical methodology to deal with specula-tion, an important impediment to price stability. The model involves typical features of a field or lab asset market setup and lends itself to an experimental test of its specific predic-tions; here we use the model to explain three general stylized facts, well established both empirically and experimentally: the excess, fat-tailed, and clustered volatility of speculative asset prices. The fat tails emerge in the model from the amplifying nature of speculation, leading to a random-coefficient autoregressive return process (and power-law tails); the volatility clustering is due to the traders’ long memory of news; bubbles are a persistent phenomenon in the model, and, assuming the standard lab present value pattern, the bub-ble size increases with the proportion of speculators and decreases with the trading horizon