Moving costs, nondurable consumption and portfolio choice

The substantial adjustment cost for housing affects nondurable consumption and portfolio allocations, as well as the frequency of housing transactions. A simple theoretical model, roughly calibrated, is used to assess the quantitative impact of adjustment costs on those decisions. The impact on portfolios is found to be significant, suggesting that housing wealth should be useful in empirical studies of portfolio choice. The welfare loss from the transaction cost is also substantial. The effect on nondurable consumption is small, however, so adjustment costs can explain only a small part of the equity premium puzzle.     

International Environmental Agreements under Endogenous Uncertainty

This paper explores the implications of the possibility of a shift in environmental damages on the participation in environmental treaties. Using a two‐period model where the probability of a regime shift increases in the first‐period pollution stock, we examine the issue of coalition formation under both fixed and dynamic membership. Our analysis suggests that endogenous uncertainty may increase participation. We find that full cooperation may be sustained, but only in the presence of endogenous uncertainty. Interestingly, when the shift in the environmental damage is large enough, the model provides a way to solve the “puzzle of small coalitions” found in the literature related to international environmental agreements. We also find that in period 1 (period 2) endogenous uncertainty leads to a lower (higher) pollution stock under dynamic membership as compared to the fixed membership case.     

Endogenous Home Bias in Portfolio Diversification and Firms’ Entry

The home bias in portfolios is considered a main puzzle in international macroeconomics. This paper provides a new benchmark for its analysis in a tractable new open economy macroeconomic model, where the home‐biased position is an optimal allocation. An equilibrium model of perfect risk‐sharing is specified, with endogenous portfolios and firm entry. Unlike in previous work, the international portfolio diversification is driven by home bias in capital goods—independently of home bias in consumption when countries are of equal size. The model explains the recent patterns of portfolio allocations in developed economies. Most important, optimal portfolio shares are independent of market dynamics.     

Dynamic causality between the U.S. stock market,the Chinese stock market and the global gold market: implications for individual investors’ diversification strategies

This paper proposes a generalization of the prior VAR and EGARCH model to explore the linkage between returns and volatility transmissions in the U.S. stock market, the Chinese stock market, and the global gold market from 10 July 1996 to 20 July 2018. We found that past returns of the U.S. stock market can predict the current returns of the other two markets, and that significant reciprocal volatility transmission existed within and across all three markets. We further implemented average out-of-sample (OOS) forecasting to show that a risk-adjusted portfolio, such as mean-variance with sample estimator, does not outperform an equal-weighted portfolio. This provides insights for individual investors and helps to explain the ongoing disagreement in the portfolio literature concerning the effectiveness of risk-adjusted portfolios and equal-weighted portfolios when the number of assets is small.     

Entry costs and stock market participation over the life cycle

Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies point to a significant structural (state) dependence in the stock market entry decision, which is consistent with costs of this type. However, the magnitude of these costs is not yet known. This paper focuses on fixed stock market entry costs. I set up a structural estimation procedure which involves solving and simulating a life cycle intertemporal portfolio choice model augmented with a fixed stock market entry cost. Important features of household portfolio data (from the PSID) are matched to their simulated counterparts. Utilizing a Simulated Minimum Distance estimator, I estimate the coefficient of relative risk aversion, the discount factor and the stock market entry cost. Given the equity premium and the calibrated income process, I estimate a one-time entry cost of approximately two percent of the permanent component of the annual labor income. My estimated model matches the zero median holding as well as the hump-shaped age–participation profile observed in the data.     

Patterns of International Capital Flows and Productivity Growth: New Evidence

Recent evidence from developing and emerging economies shows a negative correlation between growth and net capital inflows, a contradiction to neoclassical growth theory. I provide updated and disaggregated evidence on the origins of this puzzle. An analysis of the components of capital flows and of gross portfolio positions shows that foreign direct investment is directed towards countries with the highest growth rates, but that portfolio investment outflows exceed these inflows. Liberalized capital accounts further exacerbate this pattern. My results suggest a desire for international portfolio diversification in liquid assets by fast‐growing countries lies at the heart of the puzzle.     

DYNAMIC CORRELATION BETWEEN STOCK RETURNS AND EXCHANGE RATE AND ITS DEPENDENCE ON THE CONDITIONAL VOLATILITIES – THE CASE OF SEVERAL EASTERN EUROPEAN COUNTRIES

The objective of the paper is to determine whether the linkage between stock returns and exchange rates in several Eastern European countries was in accordance with the flow oriented model or the portfolio‐balance approach. The dynamic interdependence between exchange rate and stock returns is determined using the Dynamic Conditional Correlation (DCC) framework. The results pointed to a negative dynamic correlation which is in line with portfolio‐balance approach. Rolling regression revealed that conditional correlation was affected primarily by conditional volatility of currency, while the impact of stock returns volatility was negligible.     

Aid for Trade and Global Growth

Aid for trade increases a recipient's public services, which lower its import and export transport costs. Formulating a two‐country endogenous growth model, we obtain two main results. First, a permanent increase in the donor's aid/gross domestic product (GDP) ratio raises the steady‐state growth rate as well as both countries' long‐run fractions and cost shares of imported varieties if and only if it lowers the product of transport costs. Second, under a plausible condition, there exists a unique interior growth‐maximizing aid/GDP ratio. These results are robust to alternative specifications for congestion and stock‐flow nature of public goods.     

Diversification into Emerging Markets – An Australian and the US Perspective Using a Time‐varying Approach

Over the past two decades, a number of studies have examined the benefits of diversifying equity investments internationally, particularly into emerging markets. In the portfolio construction process, many researchers have criticised Markowitz's Portfolio Theory because of its inherent assumptions such as symmetric and constant correlations. In this study, we use a conditional copula model to estimate the time‐varying asymmetric correlations of stock markets and construct optimal portfolios by using estimated correlations. We find that optimised portfolios provide significant benefits for both Australian and the US investors. Out‐of‐sample results show Copula model provides results closer to the in‐sample‐estimated benefits of diversification. The results have important implications for portfolio managers who seek to diversify into emerging markets.     

Why is it so difficult to outperform the random walk? An application of the Meese–Rogoff puzzle to stock prices

Some economists suggest that the Meese–Rogoff puzzle is equally applicable to the stock market, in the sense that no model of stock prices can outperform the random walk in out-of-sample forecasting. We argue that this is not a puzzle and that we should expect nothing, but this result if forecasting accuracy is measured by the root mean square error (RMSE) and similar metrics that take into account the magnitude of the forecasting error only. We demonstrate by using two models for dividend-paying and nondividend-paying stocks that as price volatility rises, the RMSE of the random walk rises, but the RMSE of the model rises even more rapidly, making it unlikely for the model to outperform the random walk.     

A Stackelberg Game Model of Trade in Renewable Resources with Competitive Sellers*

We model international trade in renewable resources between a single buyer and competitive sellers as a Stackelberg differential game. The buyer uses unit and ad valorem tariffs to indirectly encourage conservation of the renewable resource under study. First, we show that the efficacy of these trade policy instruments in promoting conservation depends fundamentally on whether harvesting costs are stock dependent or independent. When harvesting costs are stock independent, the optimal open‐loop tariffs are dynamically consistent. In contrast, when harvesting costs are stock dependent, the optimal open‐loop tariffs are dynamically inconsistent. Secondly, we point out that whether the terminal value of the resource stock is higher with the stock independent or the stock dependent cost function cannot be resolved unambiguously. Thirdly, we show that it does not make sense for the buyer to use both tariffs simultaneously. Finally, we discuss the implications of these and other findings for renewable resource conservation in general.     

The Baby Boom and the Stock Market Boom*

This paper addresses two issues. The first is whether demographic change was plausibly responsible for the run‐up in stock prices over the last decade, and whether an attempt by the baby boom cohort to cash out of its investments in the period 2010–2030 might lead to an “asset meltdown”. The second issue is whether the rise in dependency that will accompany the retirement of the baby‐boom cohort calls for an increase in national saving. We analyze these issues using a forward‐looking macro‐demographic model, and show that they are related via the existence of installation costs for capital. If such costs are sufficiently large, then demographics do have the power to affect stock prices, but “saving for America's old age” is less optimal. However, conventional estimates of capital installation costs are not large enough to explain large stock price movements in response to actual demographic change.     

社会地位、非期望效用函数、资产定价和经济增长

本文利用非期望偏好结构 ,讨论消费和资产收益的时间序列行为。在这种递归偏好结构中 ,投资者积累财富不仅仅为了消费 ,也为了财富所带来的社会地位 ,我们研究这一假设对消费、投资组合策略、证券市场价格以及经济增长的影响 ,并利用所得到的定价方程讨论风险溢金问题。     

Portfolio separation and the dynamics of bank interest rates

We develop a dynamic model of the interest rates of a monopolistic bank, providing both intermediation and payment services. We obtain testable restrictions on portfolio separation from the dynamic terms of the reduced‐form solutions, and test the model using balance‐sheet data from large banks of 17 OECD countries, over the period 1988–2007. We find strong evidence against the portfolio separation hypothesis. In line with the predictions of the model, interest margins rise with higher market interest rates, lower revenues from fees, and higher industrial costs and loan loss provisions.     

EXPLAINING THE SAVING PUZZLES IN URBAN CHINA

This paper identifies two saving puzzles obtained from the Chinese Urban Household Survey data from 1990 to 2006. The first saving puzzle is identified by the time trend of household saving rates, which were stable before 1998, but surged subsequently. The second saving puzzle is associated with the various age profiles of household saving rates, which are not only inconsistent with the prediction of the Life Cycle Hypothesis, but also different from the patterns observed in other economies. This paper constructs pseudo‐panel data and empirically examines the applicability of the habit‐formation model in solving the second saving puzzle through the existence of saving rates and the effects of income‐related variables. On the other hand, the parametric changes of such variables help explain the first saving puzzle. The parametric changes possibly stem from the adjustment of habit stock, the rising transitory shocks of income, and the higher expenditure needs for housing.     

TRADING AMBIGUITY: A TALE OF TWO HETEROGENEITIES

We consider markets with heterogeneously ambiguous assets and heterogeneously ambiguity-averse investors whose preferences are a parsimonious extension of the mean–variance framework. We study portfolio choice and trade upon arrival of public information, and show systematic departures from the predictions of standard theory, that occur in the direction of empirical regularities. In particular, our theory speaks to several phenomena in a unified fashion: the asset allocation puzzle, the observation that earnings announcements are followed by significant trading volume with small price change, and that increases in uncertainty are positively associated with increased trading activity and portfolio rebalancing toward safer assets.     

Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat‐tailed errors and leverage

The portfolio optimization problem is investigated using a multivariate stochastic volatility model with factor dynamics, fat‐tailed errors and leverage effects. The efficient Markov chain Monte Carlo method is used to estimate model parameters, and the Rao–Blackwellized auxiliary particle filter is used to compute the likelihood and to predict conditional means and covariances. The proposed models are applied to sector indices of the Tokyo Stock Price Index (TOPIX), which consists of 33 stock market indices classified by industrial sectors. The portfolio is dynamically optimized under several expected utilities and two additional static strategies are considered as benchmarks. An extensive empirical study indicates that our proposed dynamic factor model with leverage or fat‐tailed errors significantly improves the predictions of the conditional mean and covariances, as well as various measures of portfolio performance.     

Mena Stock Markets Integration: Pre and Post Global Financial Crisis

This paper examines the short‐ and long‐run linkages in pre and post global financial crisis among Middle East and North Africa (MENA) stock markets, between MENA and Chinese stock markets and also between MENA and developed (United States and United Kingdom) stock markets. Results indicate that both long‐run co‐integration relationships and short‐run causal linkages among MENA stock markets increased in post‐crisis than that in pre‐crisis sub‐period. The degree of integration between MENA and Chinese stock markets increased in post‐crisis than pre‐crisis. We also find that the degree of integration between MENA and developed (United States and United Kingdom) stock markets increased in post‐crisis than that in pre‐crisis. The presence of increased linkages among MENA markets, and between MENA and Chinese stock markets and also between MENA and developed (United States and United Kingdom) markets has important implications for portfolio investors and policy makers.     

Dynamic asset allocation with ambiguous return predictability

We study an investor's optimal consumption and portfolio choice problem when he is confronted with two possibly misspecified submodels of stock returns: one with IID returns and the other with predictability. We adopt a generalized recursive ambiguity model to accommodate the investor's aversion to model uncertainty. The investor deals with specification doubts by slanting his beliefs about submodels of returns pessimistically, causing his investment strategy to be more conservative than the Bayesian strategy. Unlike in the Bayesian framework, the hedging demand against model uncertainty may cause the investor's stock allocation to decrease sharply given a small doubt of return predictability, even though the expected return according to the VAR model is large. Over much of the parameter space, the robust strategy is very close to the Bayesian strategy with Epstein–Zin preferences and risk aversion chosen to match the same average portfolio holdings. This is true in particular when the IID model is unlikely and the dividend yield is low, as in recent years. However, differences in strategies can be substantial if the IID model is unlikely and the dividend yield is high.     

FORECASTING GLOBAL EQUITY INDICES USING LARGE BAYESIAN VARS

This paper proposes a large Bayesian Vector Autoregressive (BVAR) model with common stochastic volatility to forecast global equity indices. Using a monthly dataset on global stock indices, the BVAR model controls for co‐movement commonly observed in global stock markets. Moreover, the time‐varying specification of the covariance structure accounts for sudden shifts in the level of volatility. In an out‐of‐sample forecasting application we show that the BVAR model with stochastic volatility significantly outperforms the random walk both in terms of point as well as density predictions. The BVAR model without stochastic volatility, on the other hand, shows some merits relative to the random walk for forecast horizons greater than six months ahead. In a portfolio allocation exercise we moreover provide evidence that it is possible to use the forecasts obtained from our model with common stochastic volatility to set up simple investment strategies. Our results indicate that these simple investment schemes outperform a naive buy‐and‐hold strategy.