Economics Commons^™

Essays On Empirical Asset Pricing, Luying Wang

Dissertations and Theses Collection (Open Access)

The dissertation consists of three chapters on empirical asset pricing. The first chapter examines
the market return predictability of media coverage on climate change. Specifically, we introduce a
comprehensive media climate change concern (ΔCMCCC) index, derived from unexpected climate
change coverage across diverse media channels, including print (newspapers), voice (radio), and
video (television). We show that this index negatively predicts aggregate stock market returns, both
in-sample and out-of-sample, offering potential gains for investors. Our findings emphasize the
media’s influence on market returns through climate change discussions, mainly via the cash-flow
channel. This reveals possible shifts in product demand, while demand …

Within-Development Density And Housing Prices In Singapore, Eric Fesselmeyer, Haoming Liu, Louisa Poco

Research Collection College of Integrative Studies

This paper measures how much more households pay for less density in their immediate surroundings. Using transaction and administrative data and exploiting the introduction of a regulation that restricted the number of housing units for certain land lots, we find that households discount density: a 10% increase in within-development density decreases the price per square meter by 5%. Further, the mean price per square meter of the average development increased by 1%–3% after the regulation was introduced, while the amount of built-up space remained constant. The increase in total revenue suggests developers may underestimate the externality caused by density.

The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang

Research Collection School Of Economics

Crémer and McLean (1988) show that the seller can extract full surplus almost always by an incentive compatible, individually rational mechanism in a single-unit auction model with a finite type space in which agents' beliefs are correlated and their valuations can be interdependent. We first show that this paradoxically positive result can be extended to a model of bilateral trades. To make it more realistic, we investigate when ex-post efficiency and ex-post budget balance in bilateral trades can also be achieved by an incentive compatible, individually rational mechanism. We identify a necessary condition for the existence of such mechanisms and …

Robust Inference On Correlation Under General Heterogeneity, Liudas Giraitis, Yuefei Li, Peter C. B. Phillips

Research Collection School Of Economics

Considerable evidence in past research shows size distortion in standard tests for zero autocorrelation or zero cross-correlation when time series are not independent identically distributed random variables, pointing to the need for more robust procedures. Recent tests for serial correlation and cross-correlation in Dalla, Giraitis, and Phillips (2022) provide a more robust approach, allowing for heteroskedasticity and dependence in uncorrelated data under restrictions that require a smooth, slowly-evolving deterministic heteroskedasticity process. The present work removes those restrictions and validates the robust testing methodology for a wider class of innovations and regression residuals allowing for heteroscedastic uncorrelated and non-stationary data settings. …

High Frequency Principal Component Analysis Based On Correlation Matrix That Is Robust To Jumps, Microstructure Noise And Asynchronous Observation Times, Dachuan Chen

Research Collection School Of Economics

This paper developed the high frequency estimation for the principal component analysis (PCA) based on correlation matrix. This estimation methodology is robust to jumps, microstructure noise and asynchronous observation times simultaneously, which is enabled by the newly proposed Truncated and Smoothed Two-Scales Realized Volatility (Truncated S-TSRV) estimator. The general framework of our methodology is constructed based on the estimation of realized spectral functions with respect to the spot correlation matrix. A new asymptotic representation for the element-wise estimation error of the spot correlation matrix estimate has been derived, resulting in a new bias correction term which is much more complex …

The Influence Of Societal Nationalist Sentiment On Trade Flows, Douglas Dow, Ilya Cuypers

Research Collection Lee Kong Chian School Of Business

In recent years, the world has witnessed a backlash against globalization and a rise in populist and nationalist movements around the world. However, there appears to be little empirical research concerning how these movements, and especially nationalist sentiment, actually influence trade. Therefore, we explore how and when nationalist sentiment within a country influences trade. Our results indicate that the effect of nationalist sentiment on imports is mediated by lower participation in free trade agreements (FTAs) but not via tariffs. Furthermore, we are unable to confirm support for a direct effect of nationalist sentiment on imports, as predicted by the consumer …

Bootstrap Inference For Quantile Treatment Effects In Randomized Experiments With Matched Pairs, Liang Jiang, Xiaobin Liu, Peter C B Phillips, Yichong Zhang

Research Collection School Of Economics

This paper examines methods of inference concerning quantile treatment effects (QTEs) in randomized experiments with matched-pairs designs (MPDs). Standard multiplier bootstrap inference fails to capture the negative dependence of observations within each pair and is therefore conservative. Analytical inference involves estimating multiple functional quantities that require several tuning parameters. Instead, this paper proposes two bootstrap methods that can consistently approximate the limit distribution of the original QTE estimator and lessen the burden of tuning parameter choice. Most especially, the inverse propensity score weighted multiplier bootstrap can be implemented without knowledge of pair identities.

Life Satisfaction Changes And Adaptation In The Covid-19 Pandemic: Evidence From Singapore, Terence C. Cheng, Seonghoon Kim, Kanghyock Koh

Research Collection School Of Economics

We provide novel evidence on how COVID-19 affected overall life satisfaction using a monthly longitudinal survey of middle-aged and older Singaporeans. We study how the subjective well-being of individuals evolves over the course of 18 months including the outbreak of the pandemic, the implementation of the lockdown and the spike of cases due to the delta variant in a country where COVID-19 is controlled in a sustained manner. Using an event-study design framework, we find large declines in overall life satisfaction in the lead-up to and following the lockdown. Fifteen months after the outbreak of the pandemic, and 13 months …

Obfuscation And Rational Inattention, Aljoscha Janssen, Johannes Kasinger

Research Collection School Of Economics

We study the behavior of duopolistic firms that can obfuscate their prices before competing on price. Obfuscation affects the rational inattentive consumers' optimal information strategy, which determines the probabilistic demand. Our model advances related models by allowing consumers to update their unrestricted prior beliefs with an informative signal of any form. We show that the game may result in an obfuscation equilibrium with high prices or a transparency equilibrium with low prices and no obfuscation, providing an argument for market regulation. Obfuscation equilibria cease to exist for low information costs and if one firm seems a priori considerably more attractive.

Migration And Resource Misallocation In China, Xiaolu Li, Lin Ma, Yang Tang

Research Collection School Of Economics

We structurally estimate the firm-level frictions across prefectures in China and quantify their aggregate and distributional implications. Based on a general equilibrium model with input and output distortions and migration, we show that the firm-level frictions are less dispersed and less correlated with firm productivity in richer prefectures. Counterfactual exercises show that reducing the within-prefecture misallocation increases aggregate welfare, discourages migration toward large prefectures, and reduces spatial inequality. Moreover, internal migration alleviates micro-frictions’ impacts on aggregate welfare and worsens their effects on spatial inequality.

The Distributional Impacts Of Transportation Networks In China, Lin Ma, Yang Tang

Research Collection School Of Economics

We document that the quality of roads and railroads vary substantially over time and space in China, and neglecting these variations biases the distributional impacts of transportation networks. To account for quality differences, we construct a new panel dataset and approximate quality using the design speed of roads and railroads that varies by vintage, class, and terrain at the pixel level. We then build a dynamic spatial general equilibrium model for multiple modes, transportation routes, and forward-looking migration decisions. Our findings demonstrate that disregarding quality differences leads to a median bias of approximately 31% in estimating real wage growth rates …

Panel Data Models With Time-Varying Latent Group Structures, Yiren Wang, Peter C. B. Phillips, Liangjun Su

Research Collection School Of Economics

This paper considers a linear panel model with interactive fixed effects and unobserved individual and time heterogeneities that are captured by some latent group structures and an unknown structural break, respectively. To enhance realism, the model may have different numbers of groups and/or different group memberships before and after the break. With preliminary nuclear norm regularized estimation followed by row- and column-wise linear regressions, we estimate the break point based on the idea of binary segmentation and the latent group structures together with the number of groups before and after the break by sequential testing K-means algorithm simultaneously. It is …

Interim Regret Minimization, Wei He, Jiangtao Li, Kexin Wang

Research Collection School Of Economics

We consider a robust version of monopoly pricing when the seller only knows the bound on valuations and the mean of the distribution of the buyer’s value. The seller seeks to minimize interim regret, the forgone expected revenue due to not knowing the distribution of the buyer’s value. The optimal pricing policy randomizes over a range of prices; the support of the pricing policy is bounded away from zero.

Who Watched Pre/Post-Lecture Tutorial Videos? Does Flipped Learning Help Beginners In Economics?, Bei Hong

Research Collection School Of Economics

The modern-day classroom is characterized by academic diversity, with students from varied backgrounds and with different levels of prior knowledge. To cater to the diverse abilities of students, this paper explored the use of flipped learning as a teaching approach in an introductory economics course. We investigated the effectiveness of 40 pre-lecture videos covering basic concepts and 27 post-lecture tutorial videos focusing on practice in improving students' exam outcomes, especially for beginners in economics who may require more support from instructors than other students. We collected data about video engagement and students' grades in progress assessments. Surveys were conducted to …

Testing The Dimensionality Of Policy Shocks, Jia Li, Viktor Todorov, Qiushi Zhang

Research Collection School Of Economics

This paper provides a nonparametric test for deciding the dimensionality of a policy shock as manifest in the abnormal change in asset returns' stochastic covariance matrix, following the release of a macroeconomic announcement. We use high-frequency data in local windows before and after the event to estimate the covariance jump matrix, and then test its rank. We find a one-factor structure in the covariance jump matrix of the yield curve resulting from the Federal Reserve's monetary policy shocks prior to the 2007-2009 financial crisis. The dimensionality of policy shocks increased afterwards due to the use of unconventional monetary policy tools.

Optimal Inference For Spot Regressions, Tim Bollerslev, Jia Li, Yuexuan Ren

Research Collection School Of Economics

Betas from return regressions are commonly used to measure systematic financial market risks. "Good" beta measurements are essential for a range of empirical inquiries in finance and macroeconomics. We introduce a novel econometric framework for the nonparametric estimation of time-varying betas with high-frequency data. The "local Gaussian" property of the generic continuous-time benchmark model enables optimal "finite-sample" inference in a well-defined sense. It also affords more reliable inference in empirically realistic settings compared to conventional large-sample approaches. Two applications pertaining to the tracking performance of leveraged ETFs and an intraday event study illustrate the practical usefulness of the new procedures.

Enhancing Sell-Type Home Reversion Products For Retirement Financing, Koon Shing Kwong, Jing Rong Goh, Ting Lin Collin Chua

Research Collection School Of Economics

Loan-type reverse mortgage plans and sell-type home reversion plans for retirement financing are two well-known equity release plans that entitle homeowners not only to release cash from their properties but also to allow them to age in place. Recently, a new hybrid equity release plan was proposed to incorporate the home reversion plan’s features with an option of staying in the property for a fixed period without being subject to survival. This additional option provides flexibility to homeowners to better meet their retirement financial and personal needs by reducing the financial uncertainty of home reversion products. In this article, we …

Cross-Border Technology Investments In Recession, Juliana Yu Sun, Huanhuan Zheng

Research Collection School Of Economics

Utilizing industry-level foreign direct investment (FDI) from 72 source markets to 122 destination markets between 2003 to 2018, we evaluate how cross-border technology investments respond to economic recessions. We find that FDI embedded with intensive research and development (R&D) drops when the destination market is in a recession and the source market is in a normal state and recovers to the pre-recession levels when both destination and source markets are in recession. However, there is little evidence that recessions affect cross-border investments in other aspects of technology measured by the penetration of robots, intellectual property products and information and communications …

The Long And Short-Run Spatial Impacts Of Trade, Lin Ma, Yunlong Song, Yang Tang

Research Collection School Of Economics

We explore how the spatial impacts of trade evolve over time using a dynamic spatial model that incorporates capital accumulation and skill acquisition. We show that in the short run, the spatial impacts of trade mainly depend on the initial conditions, especially the endowments of physical and human capital across locations. However, in the long run, trade shocks shape the distribution of production factors across space through factor accumulation and migration, resulting in significantly different spatial impacts. In the context of China’s WTO accession, we find that international trade is seven times more effective in driving the population towards coastal …

Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta

Research Collection Lee Kong Chian School Of Business

Do illegal insiders internalize legal risk? We address this question with hand-collected data from 530 SEC (the U.S. Securities and Exchange Commission) investigations. Using two plausibly exogenous shocks to expected penalties, we show that insiders trade less aggressively and earlier and concentrate on tips of greater value when facing a higher risk. The results match the predictions of a model where an insider internalizes the impact of trades on prices and the likelihood of prosecution and anticipates penalties in proportion to trade profits. Our findings lend support to the effectiveness of U.S. regulations' deterrence and the long-standing hypothesis that insider …

Local Institutional Investors And Corporate Monitoring: Evidence From Cross-Listed Korean Stocks In The Us Market, Changhwan Choi, Chune Young Chung, Jun Myung Song

Sim Kee Boon Institute for Financial Economics

Using Korean firms that are cross-listed in the US market, this paper investigates whether there are standalone effects of geographic and market proximity of institutional investors on monitoring performance. We find that Korean institutional ownership is negatively associated with earnings management while the US institutional ownership has no impact on earnings management. This suggests that there is the geographic proximity advantage over the market proximity advantage in the emerging markets. Furthermore, we also show that the impact of geographic proximity is stronger for firms with high informational opacity

Essays On Foreign Trade Zones, Xincheng Huang

Dissertations and Theses Collection (Open Access)

In 1934, in the midst of the Great Depression, the US Congress enacted the Foreign Trade Zones (FTZs) Act, and all states have at least one zone. FTZ play a significant role of sourcing foreign products, constituting about 12% of all imports entering the US and over 28% of total taxable goods during the US-China Trade War. As of 2021, there were 258 approved FTZs and roughly 85% of the outputs are domestically consumed. The US government set three main objectives of FTZs, including facilitating international trade, fostering domestic economic activities, and attracting foreign investments. This thesis firstly quantitatively measures …

Key Success Factors Of Strategic Transformation For Sino-French Cooperation In The Development Of Third-Party Markets In Africa, Bin Wang

Dissertations and Theses Collection (Open Access)

The most popular form of third-party market cooperation is an innovative international economic and trade cooperation model initiated by China under the context of the “Belt and Road” initiative nowadays. Although China and France, as non-state actors, have actively promoted trilateral cooperation and improved various agreements, the trilateral countries have not achieved effective resource complementarity due to differences in political and economic systems and goals, resulting in high complexity in the cooperation process.

Therefore, the research topic of this study is dedicated to addressing this pain point and assisting Chinese enterprises in leveraging third-party markets to expand overseas business under …

Optimal Nonparametric Range-Based Volatility Estimation, Tim Bollerslev, Jia Li, Qiyuan Li

Research Collection School Of Economics

We present a general framework for optimal nonparametric spot volatility estimation based on intraday range data, comprised of the first, highest, lowest, and last price over a given time-interval. We rely on a decision-theoretic approach together with a coupling-type argument to directly tailor the form of the nonparametric estimator to the specific volatility measure of interest and relevant loss function. The resulting new optimal estimators offer substantial efficiency gains compared to existing commonly used range-based procedures.

Robust Testing For Explosive Behavior With Strongly Dependent Errors, Yui Lim Lui, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A heteroskedasticity-autocorrelation robust (HAR) test statistic is proposed to test for the presence of explosive roots in financial or real asset prices when the equation errors are strongly dependent. Limit theory for the test statistic is developed and extended to heteroskedastic models. The new test has stable size properties unlike conventional test statistics that typically lead to size distortion and inconsistency in the presence of strongly dependent equation errors. The new procedure can be used to consistently time-stamp the origination and termination of an explosive episode under similar conditions of long memory errors. Simulations are conducted to assess the finite …

High-Dimensional Iv Cointegration Estimation And Inference, Peter C. B. Phillips, Igor L. Kheifets

Research Collection School Of Economics

A semiparametric triangular systems approach shows how multicointegrating linkages occur naturally in an I(1) cointegrated regression model when the long run error variance matrix in the system is singular. Under such singularity, cointegrated I(1) systems embody a multicointegrated structure that makes them useful in many empirical settings. Earlier work shows that such systems may be analyzed and estimated without appealing to the associated I(2) system but with suboptimal convergence rates and potential asymptotic bias. The present paper develops a robust approach to estimation and inference of such systems using high dimensional IV methods that have appealing asymptotic properties like those …

Childlessness And Sibling Positioning In Upward Intergenerational Support: Insights From Singapore, Dahye Kim, Christine Ho, Bussarawan Teerawichitchainan

Research Collection School Of Economics

Objective: This brief report aims to explore the role of child-lessness and its interaction with sibling positioning (i.e., birth order and gender) in upward intergenerational support within the context of Asian familial and patrilineal values. Background: Despite the increasing rates of childlessness in Asia, little is known about how childless individuals deviate from or adhere to the patrilineal gendered practices of supporting their older parents. Singapore, a rapidly aging nation that emphasises Confucian familism values and patrilineal practices in guiding its welfare policies, provides an ideal setting for this research investigation. Method: We analysed a sample of 475 Singaporeans aged …

Statistical Discrimination And Duration Dependence In A Semistructural Model, Ismail Baydur, Jianhuan Xu

Research Collection School Of Economics

This article develops a job-search model with unobserved worker heterogeneity and learning about worker types from unemployment duration. The model features negative duration dependence that stems from unobserved heterogeneity, skill depreciation, and statistical discrimination. We estimate job-finding rates implied by our model using microlevel data from the Current Population Survey. We find that removing interview costs counterfactually, thereby eliminating statistical discrimination, substantially increases the job-finding rates of the long-term unemployed. The performance of low-skill workers at the interview stage with discriminating firms plays a key role in explaining our counterfactual result.

Equal Predictive Ability Tests Based On Panel Data With Applications To Oecd And Imf Forecasts, Oguzhan Akgun, Alain Pirotte, Giovanni Urga, Zhenlin Yang

Research Collection School Of Economics

We propose two types of equal predictive ability (EPA) tests with panels to compare the predictions made by two forecasters. The first type, S-statistics, focuses on the overall EPA hypothesis, which states that the EPA holds, on average, over all panel units and over time. The second type, C-statistics, focuses on the clustered EPA hypothesis where the EPA holds jointly for a fixed number of clusters of panel units. The asymptotic properties of the proposed tests are evaluated under weak and strong cross-sectional dependence. An extensive Monte Carlo simulation shows that the proposed tests have very good finite sample properties, …

On The Optimal Forecast With The Fractional Brownian Motion, Xiaohu Wang, Jun Yu, Chen Zhang

Research Collection School Of Economics

This paper investigates the performance of different forecasting formulas with fractional Brownian motion based on discrete and finite samples. Existing literature presents two formulas for generating optimal forecasts when continuous records are available. One formula relies on a history over an infinite past, while the other is designed for a record limited to a finite past. In reality, only observations at discrete time points over a finite past are available. In this case, the forecasting formula, which has been widely used in the literature, is the one obtained by Gatheral et al. (2018) that truncates and discretizes the formula based …