The impact of rare disasters on equity premium and term premium in a New Keynesian DSGE model is explored in the thesis. Andreasen's (2012) model with Epstein-Zin preferences, bonds and a rare disaster shock in total factor productivity process is extended by a variable capital stock and an equity-type asset. We find that the variable capital significantly changes behavior of the model, capital depreciation must be substantially increased to counter the effect of variable capital and stochastic mean of inflation increases. The model calibrated to the US economy and a high risk aversion generates 10-year term premium of 90 basis points, rare disasters increase the premium only by 3 basis points. The equity premium is 163 basis points and rare disasters increase it also only by 3 basis points. The model with a low coefficient of relative risk aversion of 5.5 generates negative risk premia. Rare disasters increase the risk premia by mere 4 basis points in comparison to a model with i.i.d. shocks. Powered by TCPDF (www.tcpdf.org)

This research consists of two essays. The first essay entitled” Stock Return Forecasting with Sum-of-the-Parts Methodology: Evidence from Around the World”, examines forecasting ability of stock returns by employing the sum-of-the-parts (SOP) modeling technique introduced by Ferreira and Santa-Clara (2011).This approach decomposes return into three components of growth in price-earnings ratio, earnings growth, and dividend-price ratio. Each component is forecasted separately and fitted values are used in forecast model to predict stock return. We conduct a series of one-step ahead recursive forecasts for a wide range of developed and emerging markets over the period February 1995 through November 2014. Decomposed return components are forecasted separately using a list of financial variables and the fitted values from the best estimators are used according to out-of-sample performance. Our findings show that the SOP method with financial variables outperforms the historical sample mean for the majority of countries. Second essay entitled,” Equity Premium Predictability under Regime Shifts: International Evidence”, utilizes the modified version of the dividend-price ratio that alleviates some econometric concerns in the literature regarding the non-stationary and persistent predictor when forecasting international equity premium across different regimes. We employ Markov switching technique to address the issue of non-linearity between the equity premium and the predictor. The results show different patterns of equity premium predictability over the regimes across countries by the modified ratio as predictor. In addition, transition probability analysis show the adverse effect of financial crisis on regime transition probabilities by increasing the probability of switching between regimes post-crisis 2007 implying higher risk perceived by investors as a result of uncertainty inherent in regime transitions.

<p>The thesis consists of three self-contained essays on public policy in the macroeconomy.</p><p>“Government Policy in the Formal and Informal Sectors” quantitatively investigates the interaction between the firms' choice to operate in the formal or the informal sector and government policy on taxation and enforcement. Taxes, enforcement, and regulation are incorporated in a general equilibrium model of firms differing in their productivities. The model quantitatively accounts for the keys aspects in the data and allows me to back out country-specific enforcement levels. Some policy reforms are analyzed and the welfare gains can be fairly large.</p><p>“Determinants of Capital Intensive and R&D Intensive Foreign Direct Investment” studies the determinants of capital intensity and technology content of FDI. Using industry data on U.S. FDI abroad and data on many different host countries' institutional characteristics, we show that there is a differential response of FDI flows to investment climate according to the capital intensity of the industries receiving the investments. We find that better protection of property rights has a significant positive effect on R&D intensive capital flows. We find evidence that an increase in workers' bargaining power results in a reduction of both kinds of FDI. </p><p>“Ambiguity Aversion, the Equity Premium, and the Welfare Costs of Business Cycles” examines the relevance of consumers’ ambiguity aversion for asset prices and how consumption fluctuations influence consumer welfare. First, in a Mehra-Prescott-style endowment economy, we calibrate ambiguity aversion so that asset prices are consistent with data: a high return on equity and a low return on risk-free bonds. We then use this calibration to investigate how much consumers would be willing to pay to reduce endowment fluctuations to zero, thus delivering a Lucas-style welfare cost of fluctuations. These costs turn out to be very large: consumers are willing to pay over 10% of consumption in permanent terms.</p>

The expected equity premium is an important parameter in many financial models, especially within portfolio optimization. A good forecast of the future equity premium is therefore of great interest. In this thesis we seek to forecast the equity premium, use it in portfolio optimization and then give evidence on how sensitive the results are to estimation errors and how the impact of these can be minimized. Linear prediction models are commonly used by practitioners to forecast the expected equity premium, this with mixed results. To only choose the model that performs the best in-sample for forecasting, does not take model uncertainty into account. Our approach is to still use linear prediction models, but also taking model uncertainty into consideration by applying Bayesian model averaging. The predictions are used in the optimization of a portfolio with risky assets to investigate how sensitive portfolio optimization is to estimation errors in the mean vector and covariance matrix. This is performed by using a Monte Carlo based heuristic called portfolio resampling. The results show that the predictive ability of linear models is not substantially improved by taking model uncertainty into consideration. This could mean that the main problem with linear models is not model uncertainty, but rather too low predictive ability. However, we find that our approach gives better forecasts than just using the historical average as an estimate. Furthermore, we find some predictive ability in the the GDP, the short term spread and the volatility for the five years to come. Portfolio resampling proves to be useful when the input parameters in a portfolio optimization problem is suffering from vast uncertainty.

This article investigates the impacts of asymmetric information within a Lucas (1978) asset pricing economy. Asymmetry enters via the assumption that one group of agents is equipped with superior information about the dividend process. The agents maximize their lifetime utility of the underlying consumption process obtained from the agents' budget constraints, where the agents have the opportunity to invest in a risk asset to transfer income from the current to future periods. Since a closed form solution for the market price cannot be derived analytically, projection methods are applied, as described in Judd (1998), to approximate the expectation integrals in the agents' Euler equation. We derive the result that the informed trader only clearly improves his situation as compared to the non-trade situation if the uninformed trader only observes his own endowment but not the endowment of the informed trader. In the case where agents observe each others' endowment trade never results in a Pareto improvement. (auhtor's abstract) / Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

<p>The expected equity premium is an important parameter in many financial models, especially within portfolio optimization. A good forecast of the future equity premium is therefore of great interest. In this thesis we seek to forecast the equity premium, use it in portfolio optimization and then give evidence on how sensitive the results are to estimation errors and how the impact of these can be minimized.</p><p>Linear prediction models are commonly used by practitioners to forecast the expected equity premium, this with mixed results. To only choose the model that performs the best in-sample for forecasting, does not take model uncertainty into account. Our approach is to still use linear prediction models, but also taking model uncertainty into consideration by applying Bayesian model averaging. The predictions are used in the optimization of a portfolio with risky assets to investigate how sensitive portfolio optimization is to estimation errors in the mean vector and covariance matrix. This is performed by using a Monte Carlo based heuristic called portfolio resampling.</p><p>The results show that the predictive ability of linear models is not substantially improved by taking model uncertainty into consideration. This could mean that the main problem with linear models is not model uncertainty, but rather too low predictive ability. However, we find that our approach gives better forecasts than just using the historical average as an estimate. Furthermore, we find some predictive ability in the the GDP, the short term spread and the volatility for the five years to come. Portfolio resampling proves to be useful when the input parameters in a portfolio optimization problem is suffering from vast uncertainty. </p>

This dissertation presents three essays on asset pricing and econometrics. The first chapter identifies rare events and long-run risks simultaneously from a rich data set (the Barro-Ursua macroeconomic data set) and evaluates their contributions to asset pricing in a unified framework. The proposed model of rare events and long-run risks is estimated using a Bayesian Markov-chain Monte-Carlo method, and the estimates for the disaster process are closer to the data than those in the previous studies. Major evaluation results in asset pricing include: (1) for the unleveraged annual equity premium, the predicted values are 4.8%, 4.2%, and 1.0%, respectively; (2) for the Sharpe ratio, the values are 0.72, 0.66, and 0.15, respectively. / Economics

<p>My dissertation, consisting of three related essays, aims to understand the role of macroeconomic risks in the stock and bond markets. In the first chapter, I build a financial intermediary sector with a leverage constraint a la Gertler and Kiyotaki (2010) into an endowment economy with an independently and identically distributed consumption growth process and recursive preferences. I use a global method to solve the model, and show that accounting for occasionally binding constraint is important for quantifying the asset pricing implications. Quantitatively, the model generates a procyclical and persistent variation of price-dividend ratio, and a high and countercyclical equity premium. As a distinct prediction from the model, in the credit crunch, high TED spread, due to a liquidity premium, coincides with low stock price and high stock market volatility, a pattern I confirm in the data.</p><p>In the second chapter, which is coauthored with Hengjie Ai and Mariano Croce, we model investment options as intangible capital in a production economy in which younger vintages of assets in place have lower exposure to aggregate productivity risk. In equilibrium, physical capital requires a substantially higher expected return than intangible capital. Quantitatively, our model rationalizes a significant share of the observed difference in the average return of book-to-market-sorted portfolios (value premium). Our economy also produces (1) a high premium of the aggregate stock market over the risk-free interest rate, (2) a low and smooth risk-free interest rate, and (3) key features of the consumption and investment dynamics in the U.S. data.</p><p>In the third chapter, I study the joint determinants of stock and bond returns in Bansal and Yaron (2004) long-run risks model framework with regime shifts in consumption and inflation dynamics -- in particular, the means, volatilities, and the correlation structure between consumption growth and inflation are regime-dependent. This general equilibrium framework can (1) generate time-varying and switching signs of stock and bond correlations, as well as switching signs of bond risk premium; (2) quantitatively reproduce various other salient empirical features in stock and bond markets, including time-varying equity and bond return premia, regime shifts in real and nominal yield curve, the violation of expectations hypothesis of bond returns. The model shows that term structure of interest rates and stock-bond correlation are intimately related to business cycles, while long-run risks play a more important role to account for high equity premium than business cycle risks.</p> / Dissertation

The thesis consists of three self-contained essays on public policy in the macroeconomy. “Government Policy in the Formal and Informal Sectors” quantitatively investigates the interaction between the firms' choice to operate in the formal or the informal sector and government policy on taxation and enforcement. Taxes, enforcement, and regulation are incorporated in a general equilibrium model of firms differing in their productivities. The model quantitatively accounts for the keys aspects in the data and allows me to back out country-specific enforcement levels. Some policy reforms are analyzed and the welfare gains can be fairly large. “Determinants of Capital Intensive and R&amp;D Intensive Foreign Direct Investment” studies the determinants of capital intensity and technology content of FDI. Using industry data on U.S. FDI abroad and data on many different host countries' institutional characteristics, we show that there is a differential response of FDI flows to investment climate according to the capital intensity of the industries receiving the investments. We find that better protection of property rights has a significant positive effect on R&amp;D intensive capital flows. We find evidence that an increase in workers' bargaining power results in a reduction of both kinds of FDI. “Ambiguity Aversion, the Equity Premium, and the Welfare Costs of Business Cycles” examines the relevance of consumers’ ambiguity aversion for asset prices and how consumption fluctuations influence consumer welfare. First, in a Mehra-Prescott-style endowment economy, we calibrate ambiguity aversion so that asset prices are consistent with data: a high return on equity and a low return on risk-free bonds. We then use this calibration to investigate how much consumers would be willing to pay to reduce endowment fluctuations to zero, thus delivering a Lucas-style welfare cost of fluctuations. These costs turn out to be very large: consumers are willing to pay over 10% of consumption in permanent terms.

This dissertation, which consists of three essays, studies three applications. Each of them emphasizes the microfoundations of economic models. The first essay proposes a nonparametric estimation of structural labor supply and exact welfare change under nonconvex piecewise-linear budget sets. Different from previous literature, my method focuses on a nonparametric specification of an indirect utility function. I find that working with the indirect utility function is very useful in simultaneously addressing the labor supply problems with individual heterogeneity, nonconvex budget sets, labor nonparticipation, and measurement errors in working hours that previous literature was unable to. Further, the estimated indirect utility function proves to be convenient and efficient in calculating exact welfare change and deadweight loss under general piecewise-linear budget sets. In the second essay, I solve the equity premium, risk-free rate, and capital structure puzzles by laying a more solid microfoundation for consumption-based asset pricing models. I argue that the above two asset pricing puzzles arise from the aggregation of hump-shaped life-cycle consumption into per capita consumption, which accounts for the unanimous rejections of Euler equations in the literature. As for the third puzzle, I show that a firm's capital structure can be determined by heterogenous investors maximizing life-time utility even though the capital structure is irrelevant on the firm side. The endogenously determined leverage generates an even larger equity premium than a fixed one. The third essay studies the solution concepts of coalition equilibrium. Traditional solution concepts such as Strong Nash Equilibrium, Coalition-proof Nash Equilibrium, Largest Consistent Set, and Coalition Equilibrium violate the fundamental principles of individual rationality. I define a new solution concept, Weak Coalition Equilibrium, which requires each coalitional deviation to be within-coalition self-enforceable and cross-coalition self-enforceable. The cross-coalition self-enforceability endows coalitions with farsightedness. Weak Coalition Equilibrium is a generalization of Coalition-proof Nash Equilibrium and a re nement of the concept Nash Equilibrium. It exists under a weak condition. Most importantly, it is in line with the principle of individual rationality.