Modelling the shape of the limit order book

This article develops a parsimonious way to use the shape of the limit order book to produce an estimate of the asset price. The posited model captures and describes the evolution of the distribution of limit orders on the bid and ask sides of the LOB during the trading session and provides estimates of the execution asset price over time. The performance of the model is evaluated against some existing standards from the market microstructure literature during the trading session. Empirical evidence on listed companies confirm a strong contribution of our methodology to the innovation in asset prices, according to the information share coefficients. We also document a significant improvement relative to the Hasbrouck [J. Finance, 1991, 46, 179–207] model when our model estimates are included as regressors.     

Pricing the Risks of Default: A Note on Madan and Unal

In their well-known article, Madan and Unal (1998) presented one of the first intensity-based credit risk models. In this approach the default intensity is directly linked to the market value of the firm's equity. In order to derive the probability of default Madan and Unal have to solve a partial differential equation (PDE). Here, we show that one of the transformations in the derivation of the solution of this PDE is not correct and analyze the difference between the correct solution of the PDE and the solution based on the incorrect transformation. As a consequence of the transformation error the credit risk of a debtor is systematically underestimated.     

Optimal investment-consumption-insurance with random parameters

This paper discusses an optimal investment, consumption, and life insurance purchase problem for a wage earner in a complete market with Brownian information. Specifically, we assume that the parameters governing the market model and the wage earner, including the interest rate, appreciation rate, volatility, force of mortality, premium-insurance ratio, income and discount rate, are all random processes adapted to the Brownian motion filtration. Our modeling framework is very general, which allows these random parameters to be unbounded, non-Markovian functionals of the underlying Brownian motion. Suppose that the wage earner’s preference is described by a power utility. The wage earner’s problem is then to choose an optimal investment-consumption-insurance strategy so as to maximize the expected, discounted utilities from intertemporal consumption, legacy and terminal wealth over an uncertain lifetime horizon. We use a novel approach, which combines the Hamilton–Jacobi–Bellman equation and backward stochastic differential equation (BSDE) to solve this problem. In general, we give explicit expressions for the optimal investment-consumption-insurance strategy and the value function in terms of the solutions to two BSDEs. To illustrate our results, we provide closed-form solutions to the problem with stochastic income, stochastic mortality, and stochastic appreciation rate, respectively.     

Numerical Approach to Asset Pricing Models with Stochastic Differential Utility

In this paper employing two heuristic numerical schemes, we study the asset pricing models with stochastic differential utility (SDU), which is formulated by either of backward stochastic differential equations (BSDEs) or forward-backward stochastic differential equations (FBSDEs).The first scheme is based upon a traditional lattice algorithm of option pricing theories, involving the discretization scheme of coupled FBSDEs, which is combined with a technique of solving numerically a certain type of nonlinear equations with respect to the backward state variables. The second one is based upon the four step scheme of Ma et al. (1994) which solves quasi-linear partial differential equations associated with the FBSDEs. We demonstrate that our practical implementation algorithms can successfully solve the asset pricing models with generalized SDU and the large investor problem with market impact which are typical examples such that the usual four step scheme is difficult to implement. As other numerical applications we study the optimal consumption and investment policies of a representative agent with SDU, and the recoverability of preferences and beliefs from observed consumption data.     

Reserves and cash flows under stochastic retirement

Uncertain time of retirement and uncertain structure of retirement benefits are risk factors for life insurance companies. Nevertheless, classical life insurance models assume these are deterministic. In this paper, we include the risk from stochastic time of retirement and stochastic benefit structure in a classical finite-state Markov model for a life insurance contract. We include discontinuities in the distribution of the retirement time. First, we derive formulas for appropriate scaling of the benefits according to the time of retirement and discuss the link between the scaling and the guarantees provided. Stochastic retirement creates a need to rethink the construction of disability products for high ages and ways to handle this are discussed. We show how to calculate market reserves and how to use modified transition probabilities to calculate expected cash flows without significantly more complexity than in the traditional model. At last, we demonstrate the impact of stochastic retirement on market reserves and expected cash flow in numerical examples.     

Corporate Governance and Information Efficiency in Security Markets

This paper investigates a neglected topic in corporate governance research; namely, do governance characteristics affect the market reaction to news? The topic is important given the emphasis by governance regulations and codes of best practice on the need for greater transparency of corporate activities. For the first time in the corporate governance literature, we show that corporate governance characteristics (particularly the presence of founding family directors and gender diverse boards) affect the market reaction to company specific news. The results of the paper point to the analysis of the impact of governance characteristics on the market reaction to news being a new and complementary research agenda within corporate governance.     

Optimal risk transfer and investment policies based upon stochastic differential utilities

This paper addresses the stochastic differential utility (SDU) version of the issue raised by Barrieu and El Karoui (Quantitative Finance, 2:181–188, 2002a) in which optimal risk transfer from a bank to an investor, realized by transacting well-designed derivatives written on relevant illiquid assets, was␣mainly studied in two cases with and without an available financial market. From a stochastic maximum principle as described in Yong and Zhou (Stochastic controls: Hamiltonian systems and HJB equations. Springer-Verlag, New York, 1999) we shall derive necessary and sufficient conditions for optimality in several SDU-based maximization problems. It is also shown that the optimal risk transfer, consumptions, investment policies of both agents are characterized by a forward–backward stochastic differential equation (FBSDE) system.     

Product Ratings as a Market Reaction to Deregulation: Evidence From the German Insurance Market

This study provides the first investigation of information markets as a reaction to deregulation of product forms in insurance markets. The article studies the case of Germany, where insurance product ratings entered the market after relaxation of product regulation in 1994. The ratings’ potential for enhancing the performance of a deregulated insurance market is analyzed by considering both market structure and governance characteristics of the rating market, since the theoretical literature predicts that both are important determinants of rating outcomes. Data from a unique panel data set containing disability insurance ratings from the three major rating agencies are also examined in light of theoretical predictions. Results suggest that market governance and competition characteristics are favorable for the production of unbiased and informative ratings. Ratings for disability insurance support this interpretation, since the characteristics of the ratings conform to theoretical predictions about ratings in well‐functioning rating markets.     

Association between environmental factors and equity market performance: evidence from a nonparametric frontier method

In this cross-sectional study, equity market performance is assessed in a multidimensional risk-adjusted return framework using a nonparametric procedure known as data envelopment analysis. Employing a censored regression procedure, the association between equity market performance and a set of variables that proxy market characteristics and the political and business environment in which the market operates is investigated. The paper contributes to the literature on the association between environmental factors and equity market performance by using a methodology not previously employed in such investigations. The results reveal that equity market performance may be positively related to the size of the market and friendliness of the business environment. Friendliness of the business environment is an objective measure of regulations conducive to business and their enforcement.     

Managerial characteristics and stock market investment: evidence from China

We examine the effect of managerial characteristics on investment in the stock market by listed firms in China. Our empirical findings suggest that higher levels of cash‐based compensation may increase both the propensity of investing in the stock market and the total amount of investment. On the other hand, managerial holdings discourage managers from investing in stock markets and also lead to a decrease in the amount of investment. This study sheds light on managerial risk‐taking incentives. Moreover, this study fills the gap in the literature by providing evidence for the determinants of listed firms’ stock market investment.     

Testing the growth option theory: the profitability of enhanced momentum strategies in Australia

Recent literature relates growth option theory to various return regularities. Sagi and Seasholes (2007) (S&S) develop a model that explains momentum profitability using growth option theory. We test the model’s predictions in the Australian market by examining three momentum strategies. Two of these strategies examine the profitability of momentum strategies conditioned on stocks characteristics, whereas the third conditions on previous market returns. Our results are largely supportive of the S&S model. As predicted by S&S, the two strategies that use firm‐specific characteristics yield a higher profit than a simple momentum strategy. The third strategy that conditions on the previous market return also leads to differences in momentum profitability between bull and bear markets, but these differences are small and largely insignificant.     

A bibliometric review of financial market integration literature

We undertake a meta-literature review on the topic of financial market integration (FMI), covering 260 articles from 1981 to 2021. Our review consists of quantitative analysis of bibliometric citations concomitant with qualitative analysis of content, towards a goal of identifying primary research streams and proposing directions for future research. We identify five research groups: (1) portfolio diversification with financial market integration; (2) general equity market integration; (3) financial market linkage with respect to crises and events; (4) time-varying financial market integration; and (5) co-movements and spillovers between commodities and financial markets; as well as present a wide array of future research directions. We conduct an extensive review of FMI literature, answering several questions: (1) What is the domain of FMI research?; (2) What are the influential aspects of top journals and authors, and the characteristics of the most studied topics?; (3) What are the past and current key research streams in FMI literature?; and (4) What are the substantial future relevant research questions to explore regarding FMI? Given the ongoing attention on financial market integration by both academicians and policy makers, our results should be of great interest.     

日元套利交易的变化以及日元汇率的未来走势

文章回顾了2007年夏季以来国际货币期货交易市场上日元套利交易的变化特点,从货币利差;对冲基金交易损益点以及基金投资方式的变化等角度解释了影响日元头寸变化的原因,并就日元汇率的长期变动趋势进行了预测。     

Data-driven tree structure for PIN models

Probability of informed trading (PIN) models characterize trading with certain types of information through a tree structure. Different tree structures with different numbers of groups for market participants have been proposed, with no clear, consistent tree used in the literature. One of the main causes of this inconsistency is that these trees are artificially proposed through a bottom-up approach rather than implied by actual market data. Therefore, in this paper, we propose a method that infers a tree structure directly from empirical data. More precisely, we use hierarchical clustering to construct a tree for each individual firm and then infer an aggregate tree through a voting mechanism. We test this method on US data from January 2002 for 7608 companies, which results in a tree with two layers and four groups. The characteristics of the resulting aggregate tree are between those of several proposed tree structures in the literature, demonstrating that these proposed trees all reflect only part of the market, and one should consider the proposed empirically driven method when seeking a tree representing the whole market.

     

Economic Effects of Risk Classification Bans

Risk classification refers to the use of observable characteristics by insurers to group individuals with similar expected claims, to compute the corresponding premiums, and thereby to reduce asymmetric information. Permitting risk classification may reduce informational asymmetry-induced adverse selection and improve insurance market efficiency. It may also have undesirable equity consequences and undermine the implicit insurance against reclassification risk, which legislated restrictions on risk classification could provide. We use a canonical insurance market screening model to survey and to extend the risk classification literature. We provide a unified framework for analysing the economic consequences of legalised vs banned risk classification, both in static-information environments and in environments in which additional information can be learned, by either side of the market, through potentially costly tests.     

Commonality in Liquidity and Real Estate Securities

We conduct an empirical investigation of the exposure of U.S. REIT returns to commonality in liquidity. Taking advantage of the specific characteristics of REITs, we study three types of commonality in liquidity: within-asset commonality, cross-asset commonality (with the stock market), and commonality with the underlying property market. We find evidence that the three types of commonality in liquidity represent significant risk factors for REIT returns but only during bad market conditions. We also find that using a linear approach, rather than a conditional, would have underestimated the role of commonality in liquidity risk. This could explain (at least partly) the small impact of commonality on asset prices documented in the extant literature. We also analyze the economic sources of commonality in liquidity and find that demand-side factors prevail over supply-side factors.     

On the DuPont analysis in the health care industry

Prior research documents that the DuPont components of return on net operating assets (profit margin and asset turnover) represent an incremental source of information about the operating characteristics of a firm and are useful tools for market participants (Soliman, 2008). We find that the informativeness of DuPont components about future profitability is reduced in the healthcare setting, relative to an all-industry sample. Moreover, to the extent that DuPont components are useful for market participants, we show that profit margin is more persistent than asset turnover for US for-profit health care providers, which contradicts the results documented in prior literature that considered all industries. We argue that the special features of the health care industry (i.e. heavy regulation, unique operational characteristics) affect the information content of accounting signals obtained based on financial statements.     

How does competition affect bank risk-taking?

A common assumption in the academic literature and in the supervision of banking systems is that franchise value plays a key role in limiting bank risk-taking. As market power is the primary source of franchise value, reduced competition in banking markets has been seen as promoting banking stability. A recent paper by Martínez-Miera and Repullo (MMR, 2010) shows that a nonlinear relationship theoretically exists between bank competition and risk-taking in the loan market. We test this hypothesis using data from the Spanish banking system. After controlling for macroeconomic conditions and bank characteristics, we find support for this nonlinear relationship using standard measures of market concentration in both the loan and deposit markets. When direct measures of market power, such as Lerner indices, are used, the empirical results are more supportive of the original franchise value hypothesis, but only in the loan market. Overall, the results highlight the empirical relevance of the MMR model, even though further analysis across other banking markets is needed.     

New Evidence on Risk Factors, Characteristics and the Cross-Sectional Variation of Japanese Stock Returns

This paper examines whether the cross-sectional variations in stock returns are better described by systematic risk factors or by firm characteristics such as book-to-market ratios and market capitalization. It provides new evidence from the Japanese stock market based on the recent sample period from 2002 to 2007, which is not addressed in the existing literature. Also, the new results are derived from the generalized method of moments applied to daily returns. The evidence suggests that both the firm size and book-to-market ratio are significantly related to average return premiums. There is mixed evidence, which tends to lend stronger support to the characteristic model rather than the Fama-French three-factor model as more reflective of the return dynamics in the Japanese stock market.