Matching Items (7)
Filtering by
- All Subjects: Economics
Description
I show that firms' ability to adjust variable capital in response to productivity shocks has important implications for the interpretation of the widely documented investment-cash flow sensitivities. The variable capital adjustment is sufficient for firms to capture small variations in profitability, but when the revision in profitability is relatively large, limited substitutability between the factors of production may call for fixed capital investment. Hence, firms with lower substitutability are more likely to invest in both factors together and have larger sensitivities of fixed capital investment to cash flow. By building a frictionless capital markets model that allows firms to optimize over fixed capital and inventories as substitutable factors, I establish the significance of the substitutability channel in explaining cross-sectional differences in cash flow sensitivities. Moreover, incorporating variable capital into firms' investment decisions helps explain the sharp decrease in cash flow sensitivities over the past decades. Empirical evidence confirms the model's predictions.
ContributorsKim, Kirak (Author) / Bates, Thomas (Thesis advisor) / Babenko, Ilona (Thesis advisor) / Hertzel, Michael (Committee member) / Tserlukevich, Yuri (Committee member) / Arizona State University (Publisher)
Created2013
Description
Schennach (2007) has shown that the Empirical Likelihood (EL) estimator may not be asymptotically normal when a misspecified model is estimated. This problem occurs because the empirical probabilities of individual observations are restricted to be positive. I find that even the EL estimator computed without the restriction can fail to be asymptotically normal for misspecified models if the sample moments weighted by unrestricted empirical probabilities do not have finite population moments. As a remedy for this problem, I propose a group of alternative estimators which I refer to as modified EL (MEL) estimators. For correctly specified models, these estimators have the same higher order asymptotic properties as the EL estimator. The MEL estimators are obtained by the Generalized Method of Moments (GMM) applied to an exactly identified model. The simulation results provide promising evidence for these estimators. In the second chapter, I introduce an alternative group of estimators to the Generalized Empirical Likelihood (GEL) family. The new group is constructed by employing demeaned moment functions in the objective function while using the original moment functions in the constraints. This designation modifies the higher-order properties of estimators. I refer to these new estimators as Demeaned Generalized Empirical Likelihood (DGEL) estimators. Although Newey and Smith (2004) show that the EL estimator in the GEL family has fewer sources of bias and is higher-order efficient after bias-correction, the demeaned exponential tilting (DET) estimator in the DGEL group has those superior properties. In addition, if data are symmetrically distributed, every estimator in the DGEL family shares the same higher-order properties as the best member.
ContributorsXiang, Jin (Author) / Ahn, Seung (Thesis advisor) / Wahal, Sunil (Thesis advisor) / Bharath, Sreedhar (Committee member) / Mehra, Rajnish (Committee member) / Tserlukevich, Yuri (Committee member) / Arizona State University (Publisher)
Created2013
Description
I study the importance of financial factors and real exchange rate shocks in explaining business cycle fluctuations, which have been considered important in the literature as non-technological factors in explaining business cycle fluctuations. In the first chapter, I study the implications of fluctuations in corporate credit spreads for business cycle fluctuations. Motivated by the fact that corporate credit spreads are countercyclical, I build a simple model in which difference in default probabilities on corporate debts leads to the spread in interest rates paid by firms. In the model, firms differ in the variance of the firm-level productivity, which is in turn linked to the difference in the default probability. The key mechanism is that an increase in the variance of productivity for risky firms relative to safe firms leads to reallocation of capital away from risky firms toward safe firms and decrease in aggregate output and productivity. I embed the above mechanism into an otherwise standard growth model, calibrate it and numerically solve for the equilibrium. In my benchmark case, I find that shocks to variance of productivity for risky and safe firms account for about 66% of fluctuations in output and TFP in the U.S. economy. In the second chapter, I study the importance of shocks to the price of imports relative to the price of final goods, led by the real exchange rate shocks, in accounting for fluctuations in output and TFP in the Korean economy during the Asian crisis of 1997-98. Using the Korean data, I calibrate a standard small open economy model with taxes and tariffs on imported goods, and simulate it. I find that shocks to the price of imports are an important source of fluctuations in Korea's output and TFP in the Korean crisis episode. In particular, in my benchmark case, shocks to the price of imports account for about 55% of the output deviation (from trend), one third of the TFP deviation and three quarters of the labor deviation in 1998.
ContributorsKim, Seon Tae (Author) / Prescott, Edward C. (Thesis advisor) / Rogerson, Richard (Committee member) / Ahn, Seung (Committee member) / Low, Stuart (Committee member) / Arizona State University (Publisher)
Created2011
Description
This dissertation studies how forecasting performance can be improved in big data. The first chapter with Seung C. Ahn considers Partial Least Squares (PLS) estimation of a time-series forecasting model with data containing a large number of time series observations of many predictors. In the model, a subset or a whole set of the latent common factors in predictors determine a target variable. First, the optimal number of the PLS factors for forecasting could be smaller than the number of the common factors relevant for the target variable. Second, as more than the optimal number of PLS factors is used, the out-of-sample explanatory power of the factors could decrease while their in-sample power may increase. Monte Carlo simulation results also confirm these asymptotic results. In addition, simulation results indicate that the out-of-sample forecasting power of the PLS factors is often higher when a smaller than the asymptotically optimal number of factors are used. Finally, the out-of-sample forecasting power of the PLS factors often decreases as the second, third, and more factors are added, even if the asymptotically optimal number of the factors is greater than one. The second chapter studies the predictive performance of various factor estimations comprehensively. Big data that consist of major U.S. macroeconomic and finance variables, are constructed. 148 target variables are forecasted, using 7 factor estimation methods with 11 information criteria. First, the number of factors used in forecasting is important and Incorporating more factors does not always provide better forecasting performance. Second, using consistently estimated number of factors does not necessarily improve predictive performance. The first PLS factor, which is not theoretically consistent, very often shows strong forecasting performance. Third, there is a large difference in the forecasting performance across different information criteria, even when the same factor estimation method is used. Therefore, the choice of factor estimation method, as well as the information criterion, is crucial in forecasting practice. Finally, the first PLS factor yields forecasting performance very close to the best result from the total combinations of the 7 factor estimation methods and 11 information criteria.
ContributorsBae, Juhui (Author) / Ahn, Seung (Thesis advisor) / Pruitt, Seth (Committee member) / Kuminoff, Nicolai (Committee member) / Ferraro, Domenico (Committee member) / Arizona State University (Publisher)
Created2021
Description
This dissertation applies the Bayesian approach as a method to improve the estimation efficiency of existing econometric tools. The first chapter suggests the Continuous Choice Bayesian (CCB) estimator which combines the Bayesian approach with the Continuous Choice (CC) estimator suggested by Imai and Keane (2004). Using simulation study, I provide two important findings. First, the CC estimator clearly has better finite sample properties compared to a frequently used Discrete Choice (DC) estimator. Second, the CCB estimator has better estimation efficiency when data size is relatively small and it still retains the advantage of the CC estimator over the DC estimator. The second chapter estimates baseball's managerial efficiency using a stochastic frontier function with the Bayesian approach. When I apply a stochastic frontier model to baseball panel data, the difficult part is that dataset often has a small number of periods, which result in large estimation variance. To overcome this problem, I apply the Bayesian approach to a stochastic frontier analysis. I compare the confidence interval of efficiencies from the Bayesian estimator with the classical frequentist confidence interval. Simulation results show that when I use the Bayesian approach, I achieve smaller estimation variance while I do not lose any reliability in a point estimation. Then, I apply the Bayesian stochastic frontier analysis to answer some interesting questions in baseball.
ContributorsChoi, Kwang-shin (Author) / Ahn, Seung (Thesis advisor) / Mehra, Rajnish (Committee member) / Park, Sungho (Committee member) / Arizona State University (Publisher)
Created2014
Description
This dissertation consists of two essays related to dynamic debt contracting and financial economics. The first chapter studies key determinants of inclusion of a financial covenant in corporate loans from theoretical and empirical angles. Using a novel manually collected loan dataset of small to medium-sized publicly-listed U.S. firms, I find that firms that issue loans without financial covenants tend to have (i) lower accounting quality, (ii) lower assets, and (iii) are experiencing faster growth in profitability relative to firms that issue loans with financial covenants. I build a theoretical model of project financing in which there is noisy public information about the project’s profitability, and the lender can privately monitor to improve the information quality. I show that if the signal precision without monitoring is sufficiently low (high), the equilibrium contract does not include (includes) a covenant. Covenant inclusion plays a key role in providing incentives to the lender to monitor. I show that the lender monitors less often relative to the first best. Insufficient monitoring leads to “excessive risk-taking,” namely, bad quality firms continuing with the project too often. Relatedly, I also show that covenants are used less often in equilibrium relative to the first best. The second chapter examines equilibrium consequences of litigation by holdout creditors in sovereign debt renegotiation. I show that given a sufficiently high probability of winning the litigation case against the borrowing country and/or a high enough defaulted sovereign debt, the presence of the holdout creditors increases the expected debt recovery rate, which makes the default option less attractive, and decreases the country’s default probability and the interest rate on the country’s debt. The country responds by borrowing more but defaults less often along the equilibrium path as it wants to avoid default and facing holdout creditors. Having a non-zero probability of successful litigation is welfare improving for the country as it sustains higher debt and defaults less frequently.
ContributorsKim, Yong (Author) / Kovrijnykh, Natalia (Thesis advisor) / Mehra, Rajnish (Committee member) / Tserlukevich, Yuri (Committee member) / Arizona State University (Publisher)
Created2021
Description
This dissertation consists of two essays on corporate policy. The first chapter analyzes whether being labeled a “growth” firm or a “value” firm affects the firm’s dividend policy. I focus on the dividend policy because of its discretionary nature and the link to investor demand. To address endogeneity concerns, I use regression discontinuity design around the threshold to assign firms to each category. The results show that “value” firms have a significantly higher dividend payout - about four percentage points - than growth firms. This approach establishes a causal link between firm “growth/value” labels and dividend policy.
The second chapter develops investment policy model which associated with du- ration of cash flow. Firms are doing their business by operating a portfolio of projects that have various duration, and the duration of the project portfolio generates dif- ferent duration of cash flow stream. By assuming the duration of cash flow as a firm specific characteristic, this paper analyzes how the duration of cash flow affects firms’ investment decision. I develop a model of investment, external finance, and savings to characterize how firms’ decision is affected by the duration of cash flow. Firms maximize total value of cash flow, while they have to maintain their solvency by paying a fixed cost for the operation. I empirically confirm the positive correlation between duration of cash flow and investment with theoretical support. Financial constraint suffocates the firm when they face solvency issue, so that model with financial constraint shows that the correlation between duration of cash flow and investment is stronger than low financial constraint case.
The second chapter develops investment policy model which associated with du- ration of cash flow. Firms are doing their business by operating a portfolio of projects that have various duration, and the duration of the project portfolio generates dif- ferent duration of cash flow stream. By assuming the duration of cash flow as a firm specific characteristic, this paper analyzes how the duration of cash flow affects firms’ investment decision. I develop a model of investment, external finance, and savings to characterize how firms’ decision is affected by the duration of cash flow. Firms maximize total value of cash flow, while they have to maintain their solvency by paying a fixed cost for the operation. I empirically confirm the positive correlation between duration of cash flow and investment with theoretical support. Financial constraint suffocates the firm when they face solvency issue, so that model with financial constraint shows that the correlation between duration of cash flow and investment is stronger than low financial constraint case.
ContributorsLee, Tae Eui (Author) / Mehra, Rajnish (Thesis advisor) / Tserlukevich, Yuri (Thesis advisor) / Custodio, Claudia (Committee member) / Arizona State University (Publisher)
Created2015