Return Dependence and the Limits of Product Diversification in Financial Firms

Copula‐GARCH models indicate dependence between bank returns and those to insurance underwriting, securities brokerage, and mortgage finance increased during the recent crisis. In contrast, dependence between banks and the broader market was little changed. The crisis‐related jump in return dependence within the financial services sector was greatest for banks that had previously appeared the most independent. Larger banks were also especially prone to increased dependence. These findings raise doubts about the ability of financial conglomerates to diversify effectively and highlight the need for policy progress in methods for resolving such institutions should they become illiquid or insolvent.     

Industrial land use planning and the growth of knowledge industry: Location pattern of knowledge-intensive services and their determinants in the Seoul metropolitan area

As the industrial structure is reorganized from manufacturing to one that is knowledge-based, the knowledge-intensive service (KIS) industry has grown steadily. Since KIS industries make a significant contribution to regional competitiveness through innovative activities, it is important to examine what factors determine their location. Since KIS industries reportedly concentrate in and around large cities, wherein the land price is high and vacant land is scarce, land use planning is expected to play an important role in the location of KIS. Therefore, this study analyzes the location patterns of the KIS industry and the factors contributing to the industry’s growth in the Seoul metropolitan area, with a focus on land use planning. According to the result, KIS industries tend to locate in traditional KIS centers in downtown Seoul and new centers around Seoul. While the growth of KIS workers in the traditional KIS centers was stagnant, that in the new centers was much higher. Concerning the factors that affect the growth of KIS employment, the factors related to land use planning significantly influenced the growth of KIS activities. Among them, semi-industrial zone and housing site development areas were influential due to the exclusion of residential land use and land use regulation changes that allowed the development of the knowledge industry center. This shows that exclusionary land use control and flexible measures should be properly applied to accommodate new industrial demands and create space for urban employment.     

Realized volatility forecast with the Bayesian random compressed multivariate HAR model

We develop a Bayesian random compressed multivariate heterogeneous autoregressive (BRC-MHAR) model to forecast the realized covariance matrices of stock returns. The proposed model randomly compresses the predictors and reduces the number of parameters. We also construct several competing multivariate volatility models with the alternative shrinkage methods to compress the parameter’s dimensions. We compare the forecast performances of the proposed models with the competing models based on both statistical and economic evaluations. The results of statistical evaluation suggest that the BRC-MHAR models have the better forecast precision than the competing models for the short-term horizon. The results of economic evaluation suggest that the BRC-MHAR models are superior to the competing models in terms of the average return, the Shape ratio and the economic value.     

分层制度提升新三板流动性了吗?——来自多维断点回归的经验证据

本文通过多维断点回归设计,研究了在分层制度的三套不同标准下,新三板挂牌企业由基础层进入创新层对股票流动性的影响。经过一系列稳健性检验后发现:(1)通过盈利标准进入创新层的股票,Amihud价格冲击指标和换手率分别提升了74.1%和45.1%,成长标准存在操纵报表进入创新层的情形,通过做市标准进入创新层的股票流动性未能得到显著提升。(2)做市商制度对分层制度的流动性提升效应不明显;相比于协议转让,做市转让的股票流动性更低,对于做市转让的股票,其流动性与做市商数量正相关。本文对新三板分层标准的逐步调整和做市商制度与分层制度的协调配合具有积极的借鉴意义。     

Assessment of time-varying systemic risk in credit default swap indices: Simultaneity and contagiousness

This study assesses systemic risk inherent in credit default swap (CDS) indices using empirical and statistical analyses. We define systemic risk in two perspectives: the possibilities of simultaneous and contagious defaults, and then quantify them separately across benchmark models. To do so, we employ a Marshall-Olkin copula model to measure simultaneous default risk, and an interacting intensity-based model to capture contagious default risk. For an empirical test, we collect daily data for the iTraxx Europe CDS index and its tranche prices in the period from 2005 to 2014, and calibrate model parameters varying across time. In addition, we select forecasting models that have minimal prediction errors for the calibrated time series. Finally, we identify significant changes in each dynamic of systemic risk indicator before and after default and downgrade-related episodes that have occurred in the global financial crisis and European sovereign debt crisis.     

An investigation on mixed housing-cycle structures and asymmetric tail dependences

This paper designs a Markov-switching mixture Copula-based model with a mixed Markov-transition mechanism to investigate the mixed housing-cycle structures and asymmetric tail dependences for the Pacific and Mountain divisions of American regional housing markets. The empirical results demonstrate four interesting findings. First, the Markov-switching process can capture the housing cycle of each housing market. Second, the evidence of the mixed Markov-switching specification indicates that the joint housing-cycle behaviors are related not only to the total dependence mechanism, but also to the independent mechanism. Specifically, each housing market has its own characteristics, and these characteristics play relatively more important roles in determining the joint housing-cycle pattern than do common factors related to the total dependence framework. Third, the two housing markets have asymmetric tail dependences. Tail dependence exists when two markets experience the same housing-cycle modes, but does not occur when two markets experience distinct housing-cycle modes. In addition, the intensity of tail dependence is stronger when two markets remain in recession mode, as opposed to when they remain in recovery mode. This finding suggests that downward price rigidity does not exist in regional housing markets. Fourth, the spillover effects between housing returns are asymmetric.     

Understanding the adoption of a portfolio of sustainable intensification practices in eastern and southern Africa

This paper explores smallholder farmers’ adoption decisions of multiple sustainable intensification practices (SIPs) in eastern and southern Africa. We develop a multivariate probit model using plot-level data gathered from maize–legume farming systems in Ethiopia, Kenya, Malawi, and Tanzania. We find that some practices used in maize production are complementary while others are substitutable. The adoption of SIPs is influenced by social capital and networks, quality of extension services, reliance on government support during crop failure, incidence of pests and diseases, resource constraints, tenure security, education, and market access. The results provide insight into the further efforts needed to encourage greater adoption of SIPs.     

Stock market volatility and business cycle: Evidence from linear and nonlinear causality tests

This paper investigates the relationship between stock market volatility and the business cycle in four major economies, namely the US, Canada, Japan and the UK. We employ both linear and nonlinear bivariate causality tests and we further conduct a multivariate analysis to explore possible spillover effects across countries. Our results suggest that there is a bidirectional causal relationship between stock market volatility and the business cycle within each country and additionally reveal that the recent financial crisis plays an important role in this context. Finally, we identify a significant impact of the US on the remaining markets.     

Forward-looking portfolio selection with multivariate non-Gaussian models

In this study, we suggest a portfolio selection framework based on time series of stock log-returns, option-implied information, and multivariate non-Gaussian processes. We empirically assess a multivariate extension of the normal tempered stable (NTS) model and of the generalized hyperbolic (GH) one by implementing an estimation method that simultaneously calibrates the multivariate time series of log-returns and, for each margin, the univariate observed one-month implied volatility smile. To extract option-implied information, the connection between the historical measure P and the risk-neutral measure Q, needed to price options, is provided by the multivariate Esscher transform. The method is applied to fit a 50-dimensional series of stock returns, to evaluate widely known portfolio risk measures and to perform a forward-looking portfolio selection analysis. The proposed models are able to produce asymmetries, heavy tails, both linear and non-linear dependence and, to calibrate them, there is no need for liquid multivariate derivative quotes.     

The Dynamic Extreme Co-Movement between Chinese Stock Market and Global Stock Markets

ABSTRACT

We use time-varying Symmetrized Joe-Clayton Copula model to study the extreme co-movement (boom or crash together) between the Chinese stock market and major stock markets in the world from 2007 to 2017, including developed markets and stock markets on “Belt and Road Initiative” (hereafter B.R.I.). We find that the extreme co-movement probability between Chinese market and “Belt and Road Initiative” markets is higher than developed markets at both tails. Then we study important “real” and “non-fundamental” factors affecting the excess co-movement probability, including bilateral trade openness, financial integration, and economic policy uncertainty. The results of panel regression analysis show that: the bilateral financial integration has significant effects over the lower tail dependence between Chinese and developed markets, but does not affect the extreme co-movement between Chinese and B.R.I. markets. And the bilateral trade openness is an important factor for the extreme co-movement at both tail between Chinese and global markets. The economic policy uncertainty index, especially China’s economic policy uncertainty, plays a key role in the extreme co-movement between Chinese and developed markets at both tails. However, it has sizable effects only at the upper tail co-movement between Chinese and B.R.I. markets.