Econometrics Commons^™

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 …

Euro-Denominated Credit Liquidity: Tracing Cyclical Phases In Global Finance, Mateusz Mariusz Mierzejewski

Journal of Banking and Financial Economics

In the past few years, set against the backdrop of pandemic mitigation efforts and the resultant inflationary spike, the macrofinancial landscape has undergone significant transformation. The tightening of monetary policy by global central banks in response to these phenomena has notably affected global financial liquidity, particularly within the realm of foreign currency lending. This article delves into the shifts in credit liquidity, centering on the Global Liquidity Index for euro-denominated loans across European Union nations over the last two decades. Through the application of the Fourier Transform, we analyse the cyclical patterns within the index and delineate the primary phases …

A Conditional Linear Combination Test With Many Weak Instruments, Dennis Lim, Wenjie Wang, Yichong Zhang

Research Collection School Of Economics

We consider a linear combination of jackknife Anderson-Rubin (AR) and orthogonalized Lagrangian multiplier (LM) tests for inference in IV regressions with many weak instruments and heteroskedasticity. We choose the weight in the linear combination based on a decision-theoretic rule that is adaptive to the identification strength. Under both weak and strong identifications, the proposed linear combination test controls asymptotic size and is admissible. Under strong identification, we further show that our linear combination test is the uniformly most powerful test against local alternatives among all tests that are constructed based on the jackknife AR and LM tests only and invariant …

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 …

Parents, Paths, And Paychecks: Examining Intergenerational Occupational Mobility And Career Choices, Swapnil Landge

Publications and Research

This paper examines the influence of fathers’ and mothers’ occupations on their children’s occupational outcomes, using a self-selection model to analyze intergenerational career mobility. By constructing and analyzing transition matrices, I estimate the extent of positive and negative self-selection for sons and daughters when they follow either their father’s or mother’s occupation. The results reveal distinct patterns for sons and daughters. Sons who follow their father’s occupation tend to avoid negative self-selection, particularly in higher-paying fields such as Professional Occupations and Technicians and Related Support Occupations, where negative self-selection is minimal. Conversely, sons following their mother’s occupation face higher rates …

Essays On Public Finance And International Finance, Deepti Sikri

Electronic Theses & Dissertations (2024 - present)

The first chapter examines New York State's Fiscal Score Monitoring program to find the effect of two quality labels on school district outcomes: fiscal stress scores, reflecting the budget solvency, and environmental stress labels reflecting economic and demographic conditions. Using the NYS school district data from 2013-22, I employ the regression discontinuity design to find the effect of stress labels, in response to the political pressure on district finances, housing, and school outcomes. I find the effect of fiscal stress label is limited, leading to a decrease in the fund balance ratio and an increase in the tax rate. However, …

Three Essays On Energy Related To State Policies And Low Carbon Transitions, Pinky Thomas

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three essays on energy-related state policies and energy transition. Each paragraph below refers to the three abstracts for the three chapters in this dissertation, respectively.

The first essay is entitled: “Impacts of State Tax and Resource Ownership Policies on Extraction: Evidence from U.S. Natural Gas Production”. The innovation of combined use of horizontal drilling and hydraulic fracturing technologies during the 2000s has allowed natural gas producers in the United States to extract natural gas and liquids from deep shale formations in a cost-efficient manner. This essay evaluates whether unconventional gas production responds to tax changes, and …

Unraveling The Effects Of Transfer Pricing Documentation Regulation: Indonesia’ Evidence, Anggari Dwi Saputra

Jurnal Akuntansi dan Keuangan Indonesia

To counter tax avoidance using transfer mispricing practices, Indonesia introduced a transfer pricing documentation policy. This policy requires taxpayers to be transparent with their transfer pricing decisions. Treating the implementation of this policy as a shock to the taxpayers, this paper examines how the transfer pricing documentation policy affects a firm's tax avoidance behaviour by employing regression discontinuity design and difference-in-difference. Immediately after introducing the policy, a regression discontinuity analysis results indicate a 0.9 percentage point increase in tax/sales among taxpayers obligated to prepare transfer pricing documentation. A 0.3 to 0.7 percentage point increase in the tax/sales of the treatment …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Financial Contagion And Financial Lockdowns, Gabriele Camera, Alessandro Gioffré

ESI Working Papers

Extreme financial shocks often elicit extraordinary policy interventions that preclude financial activity on a large scale, for example as the 1933 U.S. “bank holiday.” We study these interventions using a random matching framework where the financial contagion process is explicit and the diffusion of the initial shock can be analytically characterized. The study suggests that there is scope for forced closures of individual firms or even economy-wide financial lockdowns only when firms are financially vulnerable and policy institutions are not well-functioning. Here, ordinary policy alone cannot prevent or sufficiently mitigate contagion, while complementing it with a lockdown or individual closures …

Evolution Of Primate Vocal Repertoires: Vocal Systems As Embodied Capital For Mediating Within-Group Conflict, Eric Schniter, Mateo Peñaherrera-Aguirre

ESI Working Papers

Life history traits constrain investments in costly neural and somatic embodied capital, potentially shaping the evolution of primate vocal communication systems. This study integrates life history theory with the social complexity hypothesis to test a sequential pathway from longevity to social dynamics to vocal repertoire size, using updated vocal repertoire data for McComb & Semple’s (2005) set of 42 non-human primate species, alongside measures of group size and within-group conflict. We compiled data on vocal repertoire size, within-group conflict, group size, endocranial volume, and maximum longevity, analysing these via Phylogenetic Sequential Canonical Cascade Model and ancestral character reconstructions. …

Heat & Social Cooperation: The Effects Of Thermal Stress On Altruism, Alexander J. Courtman

Master's Theses

Recent literature has highlighted the effects of temperature on economic outcomes and violence in humans, on both the interpersonal and intergroup levels: as temperatures rise, humans are more likely to exhibit increased aggression and agitation. However, little research has been done on how pro-social behaviors like cooperation and altruism among humans might respond to increased temperatures. As extreme heat events increase in frequency, will humans and communities work together in the face of adverse shocks and crises? Leveraging experimental data collected randomized controlled trails held in 4 locations across the world, this paper seeks to establish a relationship between thermal …

Human-Robot Interactions: Insights From Experimental And Evolutionary Social Sciences, Eric Schniter

ESI Working Papers

"Experimental research in the realm of human-robot interactions has focused on the behavioral and psychological influences affecting human interaction and cooperation with robots. A robot is loosely defined as a device designed to perform agentic tasks autonomously or under remote control, often replicating or assisting human actions. Robots can vary widely in form, ranging from simple assembly line machines performing repetitive actions to advanced systems with no moving parts but with artificial intelligence (AI) capable of learning, problem-solving, communicating, and adapting to diverse environments and human interactions. Applications of experimental human-robot interaction research include the design, development, and implementation of …

Enlightenment Ideals And Belief In Progress In The Run-Up To The Industrial Revolution: A Textual Analysis, Ali Almelhem, Murat Iyigun, Austin Kennedy, Jared Rubin

ESI Working Papers

We trace the evolution of the language of science, religion, and political economy in the centuries leading to the British Industrial Revolution. Using textual analysis of 264,443 works printed in England between 1500 and 1900, we test whether British culture manifested a belief in progress associated with science and industry. Our analysis yields three main findings. First, there was a separation in the languages of science and religion beginning in the mid-18th century. Second, volumes using language at the nexus of science and political economy became more progress-oriented during the Enlightenment. Third, volumes using industrial language—especially those at the science-political …

Insights Into The Challenges Posed By Climate Change And Land Competition To Brazil’S Midwest Pulpwood Market, Roberto Hajime Sant Anna Kimura

Theses and Dissertations

I investigated the effect of climate change in one of the few expanding markets in the world in Brazil. In the last decades the demand for pulpwood increased from zero to 11 million tons, leading to an expansion of 700 thousand hectares of Eucalyptus plantation. In 2024, a new mill will start operating increasing the consumption of wood fiber by 8.2 million tons (+49%). I used mathematical programming to investigate how different scenarios of productivity and land will affect the market. My results showed that around 946,000 hectares (+124%) of additional timberland will be necessary in the upcoming decades. The …

Bitcoin And South African Stock Market Returns During Covid-19 Pandemic: A Test Of The Safe-Haven Hypothesis, Akaninyene U. Udom, Sopuru W. Nnamani

CBN Journal of Applied Statistics (JAS)

This paper tests the safe-haven property of Bitcoin for South African stocks using Full and Diagonal BEKK-GARCH models. The study uses the Johannesburg stock exchange Top40 index, and bitcoin returns data before COVID-19 (August 2018 to December 2019) and during COVID-19 (January 2020 to June 2021). The results show that bitcoin cannot be considered as safe-haven for stocks in South Africa since it is weakly correlated with stock and had a high volatility during the Pandemic. Therefore, the safe-haven hypothesis of bitcoin on South African stocks is not true for the period under study. The policy implication is that bitcoin …

Are Bond Returns Predictable With Real-Time Macro Data?, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

We investigate the predictability of bond returns using real-time macro variables and consider the possibility of a nonlinear predictive relationship and the presence of weak factors. To address these issues, we propose a scaled sufficient forecasting (sSUFF) method and analyze its asymptotic properties. Using both the existing and the new method, we find empirically that real-time macro variables have significant forecasting power both in-sample and out-of-sample. Moreover, they generate sizable economic values, and their predictability is not spanned by the yield curve. We also observe that the forecasted bond returns are countercyclical, and the magnitude of predictability is stronger during …