Endogenous restricted participation in general financial equilibrium

We consider an incomplete market model with numeraire assets. Each household faces an individual constraint on its participation in the asset market. In related literature, the constraint is described by a function whose sole argument is the asset portfolio. On the contrary, in our analysis the constraint depends not only on the asset portfolio, but also on asset and good prices—hence the reference to endogenous (in contrast to exogenous) in the title.     

Utility maximization under a shortfall risk constraint

The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-time financial market model under a joint budget and downside risk constraint. The risk constraint is given in terms of a class of convex risk measures. We do not impose any specific assumptions on the price processes of the underlying assets. We analyze under which circumstances the risk constraint is binding. We provide a closed-form solution to the optimization problem in a general semimartingale framework. For a complete market, the wealth maximization problem is equivalent to a dynamic portfolio optimization problem.     

Divisia monetary aggregates for Russia: Money demand,GDP nowcasting and the price puzzle

The lack of developed financial markets and well-functioning transmission channels assigns monetary aggregates in emerging economies the potential role of nominal anchor, intermediate target, or informational variable for monetary policy. The effectiveness of this approach relies crucially on the correct measurement of money, which is not fulfilled by the conventional index based on the simple sum of financial assets. This paper calculates alternative Divisia monetary aggregates for Russia over the period 1998–2019, which account for the level of liquidity of a given monetary asset by assigning weights according to the usefulness of that asset for transaction services. Divisia is found to follow a markedly different growth pattern from the simple sum, whereby deviations between the two series are even more pronounced when foreign currency accounts are included. We conduct three empirical exercises to demonstrate the advantages of Divisia over the simple sum. Divisia confirms the stability of the money demand function and reflects portfolio shifts in response to changes in the opportunity cost of money. Divisia-based GDP nowcasting performs better in times of financial turmoil than the simple sum. Lastly, Divisia mitigates the price puzzle phenomenon relative to the conventional measure. We conclude that Divisia monetary aggregates would improve the effectiveness of monetary policy in Russia.     

The impact of government intervention on the stabilization of domestic financial markets and on U.S. banks’ asset composition

The 2007–2009 financial crisis that evolved from various factors including the housing boom, aggressive lending activity, financial innovation, and increased access to money and capital markets prompted unprecedented U.S. government intervention in the financial sector. We examine changes in banks’ balance sheet composition associated with U.S. government intervention during the crisis. We find that the initial round of quantitative easing positively impacts bank liquidity across all bank samples. Our results show a positive impact of repurchase agreement market rates on bank liquidity for small and medium banks. We conclude that banks have become more liquid in the post-crisis period, especially the larger banks (large and money center banks). We show that real estate loan portfolio exposures have reverted to pre-crisis levels for money center banks and remained flat for all other bank samples.     

Is bitcoin a safe haven or a hedging asset? Evidence from China

Based on daily data about Bitcoin and six other major financial assets (stocks, commodity futures (commodities), gold, foreign exchange (FX), monetary assets, and bonds) in China from 2013 to 2017, we use a VAR-GARCH-BEKK model to investigate mean and volatility spillover effects between Bitcoin and other major assets and explore whether Bitcoin can be used either as a hedging asset or a safe haven. Our empirical results show that (i) only the monetary market, i.e., the Shanghai Interbank Offered Rate (SHIIBOR) has a mean spillover effect on Bitcoin and (ii) gold, monetary, and bond markets have volatility spillover effects on Bitcoin, while Bitcoin has a volatility spillover effect only on the gold market. We further find that Bitcoin can be hedged against stocks, bonds and SHIBOR and is a safe haven when extreme price changes occur in the monetary market. Our findings provide useful information for investors and portfolio risk managers who have invested or hedged with Bitcoin.     

货币供应量变动对家庭风险资产持有比例的影响研究——基于利率渠道视角

构建跨期投资决策模型,运用CHFS微观数据和相关的宏观数据,基于利率渠道研究了货币供应量变动对家庭金融参与及风险资产持有比例的影响。理论分析表明,货币供应量增加导致货币市场利率降低时,各类风险偏好家庭的金融参与及风险资产持有比例均会提高。实证结果表明：货币供应量变动对货币市场利率的影响较弱,利率渠道可能存在堵塞;货币供应量变动通过利率渠道对风险喜好家庭的金融参与及风险资产持有比例有部分中介效应,但对风险规避家庭有完全中介效应。     

Stocks,bonds, money markets and exchange rates: measuring international financial transmission

Understanding the complexity of the financial transmission process across various assets—domestically as well as within and across asset classes—requires the simultaneous modeling of the various transmission channels in a single, comprehensive empirical framework. The paper estimates the financial transmission between money, bond and equity markets and exchange rates within and between the USA and the euro area. We find that asset prices react strongest to other domestic asset price shocks, but that there are also substantial international spillovers, both within and across asset classes. The results underline the dominance of US markets as the main driver of global financial markets: US financial markets explain, on average, around 30% of movements in euro area financial markets, whereas euro area markets account only for about 6% of US asset price changes. Moreover, the methodology allows us to identify indirect spillovers through other asset prices, which are found to increase substantially the international transmission of shocks within asset classes. Copyright © 2010 John Wiley & Sons, Ltd.     

产品市场竞争、竞争地位与企业金融资产配置

实体经济"脱实向虚"的微观表现就是企业金融化,而产品市场竞争程度和企业所处的竞争地位无疑是影响企业金融化的一个重要因素。本文选取2007~2018年我国A股非金融类上市公司的经验数据为样本,实证检验了产品市场竞争程度和企业竞争地位对企业金融资产配置的影响。结论表明:产品市场竞争程度和企业竞争地位与企业金融资产配置均呈正相关关系,产品市场竞争的加剧和企业竞争地位的提升都会增加企业金融资产配置规模。进一步的分析还发现:企业竞争地位在产品市场竞争程度与企业金融资产配置的关系中起到了反向的交互作用,而且竞争地位高的企业更倾向于配置金融资产,市场套利动机是企业进行金融资产配置的主要动因。因此,应降低行业进入壁垒和行业集中度,加强对企业融资后资金去向的监管,缓解企业融资难融资贵困境,提高实体经济活动的投资回报率。     

货币性外汇储备资产的多层次优化配置

在中国拥有巨额外汇储备并急需寻求储备资产管理模式创新的背景下,本文以货币性外汇储备和资本性外汇储备的划分为前提,将多层次、系统的管理思想引入到外汇储备资产优化配置中。通过构建基于多层次需求的货币性外汇储备币种结构优化的AHP模型,测算出外汇储备货币性资产的最优币种权重。在币种结构确定的基础上再建立修正的资产结构优化AHP模型,并最终计算出货币性资产权重,从而实现了币种结构和资产结构优化的真正结合。研究结果表明：美元在币种权重中的领导地位还难以撼动,货币性存款在资产组合权重中也具有明显优势。因此,在货币性资产优化配置中,不宜将币种盲目多样化,同时应充分考虑货币性储备资产的功能和特性,选择流动性强、安全性高的金融资产。     

International spillovers in global asset markets

The paper empirically estimates the financial transmission within and across bond and equity markets in the four largest global financial markets – the United States, the Euro area, Japan, and the United Kingdom. We argue that international bond and equity markets are highly interconnected both within and across asset classes in a globalized world, where the complex transmission process across various financial assets is not restricted to just the domestic market. This paper employs identification through generalized forecast error variance decompositions to estimate spillovers across four systemic markets in a Vector Autoregression (VAR) framework. We find that asset prices react most strongly to international shocks within the same asset class, but that there are also substantial international spillovers across asset classes. Rolling estimations analysis provides evidence that global asset markets have become more integrated and that the bilateral relationships change over time. Our results are robust to specifications that take into account the monetary policy stance and include foreign exchange markets.     

Portfolio choice,behavioral preferences and equity home bias

We provide a plausible explanation of aggregate portfolio behavior, in a framework where economic agents have behavioral (narrow framing) preferences. The representative agent derives utility not only from consumption (standard models) but also from risky financial wealth fluctuations. Moreover, the investor frames the stock market risk narrowly and has loss averse preferences. We numerically solve, for the foreign equity share, a simple model of international portfolio choice, providing a possible explanation for the equity home bias puzzle. Only economic agents able to process correctly information deriving from stock markets exploit the diversification opportunities provided by international financial markets.     

Does lending behaviour of banks in emerging economies vary by ownership? Evidence from the Indian banking sector

While much has been discussed about the relationship between ownership and financial performance of banks in emerging markets, literature about cross-ownership differences in credit market behaviour of banks in emerging economies is sparse. Using a portfolio choice model and bank-level data from India for 9 years (1995–96 to 2003–04), we examine banks’ behaviour in the context of credit markets of an emerging market economy. Our results indicate that, in India, the data for the domestic banks fit well the aforementioned portfolio-choice model, especially for private banks, but the model cannot explain the behaviour of foreign banks. In general, allocation of assets between risk-free government securities and risky credit is affected by past allocation patterns, stock exchange listing (for private banks), risk averseness of banks, regulations regarding treatment of NPA, and ability of banks to recover doubtful credit. It is also evident that banks deal with changing levels of systematic risk by altering the ratio of securitized to non-securitized credit.     

Modeling volatility in sector index returns with GARCH models using an iterated algorithm

Financial market participants are interested in knowing what events can alter the volatility pattern of financial assets and how unanticipated shocks determine the persistence of volatility over time. The present paper studies these issues by detecting time periods of sudden changes in volatility by using the iterated cumulated sums of squares (ICSS) algorithm. Examining five major sectors from January 1992 to August 2003, we found that accounting for volatility shifts in the standard GARCH model considerably reduces the estimated volatility persistence. Our results have important implications regarding asset pricing, risk management, and portfolio selection. (JEL G110, G120)     

抵押房地产的公开市场价值、抵押价值及变现价值

在金融机构发放抵押贷款时,抵押房地产的价值是确定房地产抵押贷款的贷款额的一个重要参数。我国《房地产抵押估价指导意见》规定:房地产抵押估价采用公开市场价值标准,房地产抵押价值等于假定未设立法定优先受偿权利下的市场价值减去房地产估价师知悉的法定优先受偿款。但是,金融机构通过变卖或拍卖方式行使处置权和收益权得到变现净值或清算净值,因而金融机构房地产抵押所追求的是“变现净值”或“清算净值”标准,不是公开市场价值标准。所以,金融机构要防范金融风险,科学确定房地产抵押贷款的贷款额,就必须准确界定抵押房地产的市场价值、抵押价值和变现价值。     

The effects of dependent beliefs on endogenous leverage

The number of financial markets and the beliefs about the relation between markets can have large effects on the access to credit in a model with collateralized borrowing. In the model, investors have beliefs about the payout likelihoods for assets. I vary the degree of dependence between the likelihoods for the asset payouts and solve for the endogenous leverage ratios. When investors believe that the payouts of the assets are more dependent, the model predicts higher leverage ratios for all assets. When the number of financial markets available to investors increases, a condition in terms of the belief elasticity characterizes whether or not the leverage ratios increase.     

Modelling the UK gilt-edged market

In this paper we examine the sectoral demand for UK gilt-edged securities. The Tobin–Markowitz model of portfolio choice generates the prediction that asset holdings should be negatively correlated with the own price, and positively correlated with the prices of major substitutes. In contrast, for all the five major groups of UK gilt holders, we find evidence consistent with a reverse correlation between the own price and market holdings which we argue arises due to the passive revaluation of existing holdings. We examine the empirical evidence using both cointegration analysis of stock holdings and a dynamic model of net transactions.     

Research on the time-varying effects among green finance markets in China: A fresh evidence from multi-frequency scale perspective

Green finance is an essential instrument for achieving sustainable development. Objectively addressing correlations among different green finance markets is conducive to the risk management of investors and regulators. This paper presents evidence on the time-varying correlation effects and causality among the green bond market, green stock market, carbon market, and clean energy market in China at multi-frequency scales by combining the methods of Ensemble Empirical Mode Decomposition Method (EEMD), Dynamic Conditional Correlation (DCC) GARCH model, Time-Varying Parameter Vector Autoregression with Stochastic Volatility Model (TVP-VAR-SV), and Time-varying Causality Test. In general, the significant negative time-varying correlations among most green finance markets indicate a prominent benefit of risk hedging and portfolio diversification among green financial assets. In specific, for different time points and lag periods, the green finance market shock has obvious time-varying, positive and negative alternating effects in the short-term scales, while its time delay and persistence are more pronounced in the medium-term and long-term scales. Interestingly, a positive event shock will generate positive connectivity among most green finance markets, whereas a negative event including the China/U.S. trade friction and the COVID-19 pandemic may exacerbate the reverse linkage among green finance markets. Furthermore, the unidirectional causality of “green bond market - carbon market - green stock and clean energy markets” was established during 2018–2019.     

浅议资产减值会计在我国的发展

在以历史成本计量资产价值的情况下,资产减值损失只有在相关资产发生转让、出售等时才予以确认,其结果是会计报表所反映的资产价值和净利润等均被高估,从而导致财务会计报告难以真实地反映企业实际的财务状况和经营成果。本文在对资产减值会计在我国发展的基础上,比较了我国资产减值会计与国际惯例的差异,对我国资产减值会计发展进行思考,阐述我国资产减值会计的发展趋势。     

Environmental,Social and Governance investing: Does rating matter?

In the last decade, the demand for sustainable and social investments has improved. The mutual funds industry has responded to market needs by offering a number of investment products focused on Environmental, Social and Governance (ESG) companies. The aim of this article is to understand if an ESG score can actually be considered a valid criterion that portfolio managers could adopt, along with traditional risk–return optimisation, in selecting asset portfolios. The paper analyses the link between the performance and the ESG score of different sectoral portfolios (one for each sector of the Global Industry Classification Standard), entirely composed of ESG assets, in the search for a clear and strong positive correlation that could suggest an overall advantage to focus on an ex ante choice of assets with high ESG scores.