Home Bias and High Turnover in an Overlapping-generations Model with Learning

This paper develops a two‐country overlapping‐generations (OLG) model under the assumption that investors are on a learning path. While investors from both countries receive identical information flows, domestic investors start off with less precise prior beliefs concerning foreign fundamentals. On a learning path, differences in beliefs and estimation risk generate portfolio biases that match the empirical evidence: home bias in equity portfolios and trend‐chasing in international flows. In addition, due to the higher volatility of the estimates of foreign state variables, our model produces excessive turnover in foreign securities. We calibrate the model on the historical path of quarterly real GDP data for the US and Europe. Under the assumption of a financial liberalization in the 1970s, the model produces preference for domestic securities and turnover.     

Single Beta Models and Currency Futures Prices

The conditional capital asset pricing model is applied to foreign currency futures prices, covariance risk being measured relative to excess returns from a broadly diversified international portfolio of equities. Positive time-varying risk premia are found in all five currencies tested when the difference between the US and the average foreign interest rates is used as an instrumental variable for the expected excess return from the common stock portfolio.     

Portfolio choice, attention allocation, and price comovement

This paper models the attention allocation of portfolio investors. Investors choose the composition of their information subject to an information flow constraint. Given their expected investment strategy in the next period, which is to hold a diversified portfolio, in equilibrium investors choose to observe one linear combination of asset payoffs as a private signal. When investors use this private signal to update information about two assets, changes in one asset affect both asset prices and may lead to asset price comovement. The model also has implications for the transmission of volatility shocks between two assets.     

Foreign equity option pricing under stochastic volatility model with double jumps

This paper considers the challenging problem advocated by Huang and Hung (2005), that is to incorporate the stochastic volatility into the foreign equity option pricing. Foreign equity options (quanto options) are contingent claims where the payoff is determined by an equity in one currency but the actual payoff is done in another currency. Huang and Hung (2005) priced foreign equity options under the Lévy processes. In Huang and Hung's paper, they considered jumps in the foreign asset prices and exchange rates and assumed the volatility as constant. However, many studies showed that constant volatility and jumps in returns are incapable of fully capturing the empirical features of equity returns or option prices. In this paper, the stochastic volatility with simultaneous jumps in prices and volatility is proposed to model foreign asset prices and exchange rates. The foreign equity option pricing formula is given by using the Fourier inverse transformation. The numerical results show that the use of stochastic volatility with simultaneous jumps in prices and volatility proposed to model foreign asset prices and exchange rates is necessary and this approach can help us to capture more accurately the foreign equity option prices.     

Has the Asian crisis changed the role of foreign investors in emerging equity markets: Taiwan's experience

This paper examines whether the 1997 Asian crisis changed the trading behaviors of foreign investors and of local institutional investors in Taiwan's stock market. There is little evidence that the Asian crisis changed the relationship between equity flows and market returns in Taiwan's stock market but there is evidence that volatility effects and volatility spillover were strengthened after the crisis. The general findings are (i) feedback trading arguments are much stronger than information arguments; (ii) relationships between returns and sale changes are the weakest but volatility effects using sale measures are the strongest; (iii) strong volatility effects and volatility spillover are found after the crisis; and (iv) the results for domestic institutional investors are slightly stronger than those for foreign investors.     

The possibility of informationally efficient markets

A rational expectations equilibrium with positive demand for financial information does exist under fully revealing asset price—contrary to a wide-held conjecture. Whereas a continuum of investors is inconsistent with fully revealing equilibrium, finitely many investors with average portfolios demand information in equilibrium if they can adjust portfolio size in an additive signal-return model. More information diminishes the expected excess return of a risky asset so that investors who only have a choice of portfolio composition or whose asset endowments strongly differ from the average portfolio are worse off. Under fully revealing price, information market equilibria both with and without information acquisition are Pareto efficient.     

Shifts in Portfolio Preferences of International Investors: An Application to Sovereign Wealth Funds

We develop a dynamic general equilibrium model to analyze the macroeconomic effects of a shift in portfolio preferences of foreign investors. The model has two countries and two asset classes (equities and bonds). It is characterized by imperfect substitutability between assets and allows for endogenous adjustment in interest rates and asset prices. To illustrate the mechanics of the model, we calibrate it to analyze a transfer of reserves from central banks to sovereign wealth funds (SWFs). We look separately at two diversification paths: a shift away from dollar assets (path 1), and a shift away from US bonds to US equities (path 2). In path 1, the dollar depreciates and US net debt falls on impact and increases in the long run. In path 2, the dollar depreciates and US net debt increases in the long run.     

Regional stock market integration in Singapore: A multivariate analysis

This paper evaluates the time-varying integration of the Singapore stock market in the ASEAN-5 region based on a conditional version of the International Capital Asset Pricing Model (ICAPM) with c-DCC-FIAPARCH parameters. This model allows for dynamic changes in the degree of market integration, regional market risk premium, regional exchange-rate risk premium, and domestic market risk premium. Our findings show several interesting facts. First, the time-varying degree of integration in the Singapore market is satisfactorily explained by the level of trade openness and the term premium of US interest rates, which have recently tended to increase, however these markets remain substantially segmented from the world market. Second, the local market risk premium is found to explain a significant proportion of the total risk premium for emerging market returns. Our findings illustrate several important implications for portfolio hedgers for making optimal portfolio allocations, engaging in risk management and forecasting future volatility in equity markets. Our results are also of interest for both policymakers and investors, with respect to regional development policies and dedicated portfolio investment strategies in the ASEAN-5 region.     

Effects of US interest rates and news on the daily interest rates of a highly indebted emerging economy: evidence from Turkey

It has been widely demonstrated that asset prices react sensitively to macroeconomic news releases both in the industrialized countries and emerging markets. However, there are contradicting results on the effects of changes in interest rates of industrialized countries on asset prices of emerging markets. In heavily indebted economies, in addition to these factors, political news and announcements from international institutions that may increase or decrease concerns about debt sustainability can affect asset prices as well. This potential notwithstanding, there has been relatively limited empirical work on the effects of such variables. The objective of this study is to quantify the impact of all of these factors on interest rates of a highly indebted emerging economy. Using daily post-crisis data of the Turkish economy we show that both good and bad political news, International Monetary Fund announcements, and European Union related news significantly affected secondary market government securities yields, whereas volatility of yields was affected mainly by bad news releases. Changes in US Treasury bond rates and ‘appetite’ for risk of foreign investors did not affect government securities yields in the period analysed.     

Investor sentiment,information and asset pricing model

We present an asset pricing model with investor sentiment and information, which shows that the investor sentiment has a systematic and significant impact on the asset price. The equilibrium price's rational term drives the asset price to the rational, and the sentiment term leads to the asset price deviating from it. In our model, the proportion of sentiment investors and the information quality could amplify the sentiment shock on the asset price. Finally, the information is fully incorporated into prices when sentiment investors learn from prices. The model could offer a partial explanation of some financial anomalies: price bubbles, high volatility, asset prices' momentum effect and reversal effect.     

THE DYNAMIC RELATION BETWEEN RETURNS,TRADING VOLUME,AND VOLATILITY: LESSONS FROM SPILLOVERS BETWEEN ASIA AND THE UNITED STATES

This paper investigates the dynamic relationship between index returns, return volatility, and trading volume for eight Asian markets and the US. We find cross‐border spillovers in returns to be non‐existent, spillovers in absolute returns between Asia and the US to be strong in both directions, and spillovers in volatility to run from Asia to the US. Trading volume, especially on the Asian markets, depends on shocks in domestic and foreign returns as well as on volatility, especially those shocks originating in the US. However, only weak evidence is found for trading volume influencing other variables. In the light of the theoretical models, these results suggest sequential information arrivals, with investors being overconfident and applying positive feedback strategy. Furthermore, new information causes price volatility to rise due to differences in its interpretation among traders, but the subsequent market reaction takes the form of adjustment in price level, not volatility. Lastly, the intensity of cross‐border spillovers seems to have increased following the 1997 crisis, which we interpret as evidence of increased noisiness in prices and diversity in opinions about news originating abroad. Our findings might also help to understand the nature of financial crises, to predict their further developments and consequences.     

中国封闭式基金价格报酬过度波动的经验分析

本文研究了中国封闭式基金价格报酬与净资产报酬的数据特征及其影响关系 ,主要的结果是 :( 1 )中国封闭式基金的价格报酬相对于基金的净资产报酬一方面存在过度波动 ,另一方面又存在反映不足 ;( 2 )通过检验表明 ,投资者情绪风险对价格报酬过度波动具有显著的影响 ,而Fama的三因素风险因子对价格报酬的过度波动几乎没有解释力 ;( 3 )封闭基金价格报酬的过度波动表明 :由于投资者行为使基金股票价格相对于基金净值存在额外的系统风险 ,封闭式基金折价正是对这种系统风险的一种补偿。     

Information contagion within small worlds and changes in kurtosis and volatility in financial prices

An agent based artificial market is developed to determine the impact of the interaction between investors on prices. It consists of sentiment investors, a single fundamental investor and a market maker. Sentiment investors live in a small world network and have limited liquidity. They trade based on their assessment of the future direction of the market. Consistent with the social learning literature, there are two types of sentiment investors; social learners and experts. Experts only consider private information while social learners also consider the views of neighbours. It is found that the interaction between the agents generate kurtosis and persistence characteristics of volatility in returns. In addition, the level of kurtosis and volatility depends on the inter-connectedness of the network as well as the number of experts and the number of connections from these experts to social learners. Cluster coefficient and characteristic path length analysis show that kurtosis and volatility are lowest within the small world region of the network. This effect is negated as the number of experts increases beyond a threshold.     

Focusing on volatility information instead of portfolio weights as an aid to investor decisions

When faced with the challenge of forming a portfolio containing a risky and a risk-free asset, investors tend to apply the same portfolio weights independently of the volatility of the risky asset. This “percentage heuristic” can lead to different levels of portfolio risk when the same investor is presented with a more or a less risky asset. Using four experiments, we show that asking investors to choose the return distribution for their portfolio while keeping the exact portfolio weights unknown leads to greater similarity in levels of portfolio volatility (across different levels of risk of the risky asset) than asking investors to choose this distribution while additionally facing the portfolio weights. Higher consistency in risk taking is obtained both between and within test subjects.     

Asset price volatility in a nonconvex general equilibrium model

Summary. Asset prices and returns are known to vary significantly more than␣output or aggregate consumption growth, and an order of magnitude in excess of what is justified by innovations to fundamentals. We study excess price volatility in a lifecycle economy with two assets (claims on capital and␣a public debt bubble), heterogeneous agents, and increasing returns to financial intermediation. We show that a relatively modest nonconvexity generates a set valued equilibrium correspondence in asset prices, with two␣stable branches. Price volatility is the outcome of an equilibrium selection mechanism, which mixes adaptive learning with “noise”, and alternates stochastically between the two stable branches of the price correspondence. Received: March 19, 1998; revised version: June 2, 1998     

Response of Asset Prices to Monetary Policy under Abenomics

In this paper, I investigate the causes of the recent sharp response of the yen and Japanese stock prices to the discussion of, and the subsequent implementation of bold monetary easing by the Bank of Japan as demanded by Prime Minister Abe. I present statistical evidence that the response of the two asset prices have indeed been unusually large relative to the past experience with nonconventional monetary policy (NCM) even after allowance is given for the rise in global economic activity and asset prices. I also point out that the rally has been led by speculative trading by foreign investors, while domestic investors have largely stayed on the sidelines. I discuss possible reasons for such foreign investor behavior. Simply put, the unprecedented political pressure raised hopes of the adoption of bold measures by the Bank of Japan. I discuss, however, the possibility that the room for further action by the Bank is quite limited apart from what might be called a targeted helicopter drop of money. I also point out the possibility that investor behavior may have not been based on economic fundamentals. The asset price volatility since April 2013 is interpreted in the light of such discussions.     

Noise traders and smart money: Evidence from online searches

Traditional finance theory considers that the impact of noise traders' attention on asset prices is offset by attention from smart investors. This paper uses online search data to study the influence of noise traders and smart investors on stock returns and volatility. Adopting an original approach, we construct a proxy for smart investor attention based on investors' online search behavior provided by Wikipedia Page Traffic. We combine this new measure with a standard measure of noise traders' attention as proxied by Google Search Volume Index. We show for a sample of 87 French firms over the period 2008–2018 that only noise traders' attention influences stock returns. Noise traders' attention increases volatility by creating an extra risk that is priced into the market. Conversely, smart investors' attention decreases volatility because their presence stabilizes stock prices by reducing uncertainty. Our empirical results support a behavioral explanation of stock prices.     

信息不对称与机构操纵——中国股市机构与散户的博弈分析

中国股市中 ,股票二级市场价格常常在短期内发生剧烈变化。这种现象产生的原因在于 ,在信息不对称情况下 ,机构通过操纵上市公司基本面信息来影响股票交易价格 ,以获得超额收益。鉴于机构之间信息不对称程度远远低于机构与散户之间信息不对称程度 ,发展机构投资者可以最终减少市场操纵行为 ,机构在投资者中所占比例与市场整体被操纵程度的关系可以用倒“U”形曲线表示。     

Consistent High-precision Volatility from High-frequency Data

Estimates of daily volatility are investigated. Realized volatility can be computed from returns observed over time intervals of different sizes. For simple statistical reasons, volatility estimators based on high-frequency returns have been proposed, but such estimators are found to be strongly biased as compared to volatilities of daily returns. This bias originates from microstructure effects in the price formation. For foreign exchange, the relevant microstructure effect is the incoherent price formation, which leads to a strong negative first-order autocorrelation ρ(1)≃40 per cent for tick-by-tick returns and to the volatility bias. On the basis of a simple theoretical model for foreign exchange data, the incoherent term can be filtered away from the tick-by-tick price series. With filtered prices, the daily volatility can be estimated using the information contained in high-frequency data, providing a high-precision measure of volatility at any time interval.
(J.E.L.: C13, C22, C81).     

Empirical tests on the asset pricing model with liquidity risk: An unobserved components approach

The aim of this paper is to test empirically the conditional liquidity-adjusted capital asset pricing model (L-CAPM) developed by Acharya and Pedersen (2005). Accordingly, we propose to estimate the L-CAPM using unobserved components methodology, which allows us to take into account the main stylized facts characterizing liquidity. Based on a sample of firms listed on the NASDAQ, our empirical analysis reveals several findings. Firstly, we show that liquidity is time-varying and exhibits strong seasonality. Secondly, we highlight the impact of the liquidity level premium on asset prices. Thirdly, we show that the most important liquidity risk is related to the covariance between portfolio illiquidity and market returns. Fourthly, we observe a negative relationship between portfolio returns and market illiquidity. Fifthly, we find that liquidity risk and illiquidity level are not always positively correlated.