Finance and Financial Management Commons^™

Dynamics Of Mining Markets: Equilibrium Implications For Professional And Casual Miners, Luca Pezzo, Lei Wang, Seungho Shin, Duygu Zirek

Department of Accounting and Finance Faculty Scholarship and Creative Works

We design a simple equilibrium model to analyze the dynamics of the mining market in the presence of professional and casual miners. The model endogenously recovers two major unobservable drivers: the supply of computing power, and the dynamics of the fixed costs of mining. We calibrate the model to the market of Bitcoin and Ethereum and find that positive shocks to the supply of computing power (technological enhancements) translate into positive price shocks, and the benefits of these hikes are creamed off by professional miners. We also find that fixed costs are inversely related to technological enhancements, decrease at an …

Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu

Research Collection Lee Kong Chian School Of Business

Bayesian Optimization (BO) has recently received increasing attention due to its efficiency in optimizing expensive-to-evaluate functions. For some practical problems, it is essential to consider the path-dependent switching cost between consecutive sampling locations given a total traveling budget. For example, when using a drone to locate cracks in a building wall or search for lost survivors in the wild, the search path needs to be efficiently planned given the limited battery power of the drone. Tackling such problems requires a careful cost-benefit analysis of candidate locations and balancing exploration and exploitation. In this work, we formulate such a problem as …

Exploring The Presence Of Nonlinear Deterministic Dynamics In Commodity Prices, Sagar Dahal

Department of Agricultural Economics: Dissertations, Theses, and Student Research

Determining whether commodity prices (and volatility) are driven by linear stochastic processes or low-dimensional nonlinear deterministic dynamics (“chaos”) is crucial for policymaking, forecasting, production, storage, investment, risk management, and hedging decisions. Previous studies that used Lyapunov exponents and correlation dimensions to identify chaotic structures in price series may be unreliable in practical applications because these methods rely on asymptotic properties that require large, noiseless data which is often not available. We applied nonlinear time series analysis approaches to empirically detect the underlying market dynamics using the daily futures prices of ten agricultural commodities. We used phase space reconstruction to reconstruct …

Supply Chain Finance: Exploring The State Of Adoption With Small Business Suppliers In U.S. Defense Procurement Contracts, James C. Phelps Iii

Electronic Theses and Dissertations

Innovative supply chain finance (SCF) practices offer alternative approaches to relief of cash flow distress for suppliers in an extended enterprise by enhancing access to and affordability of working capital. Adopting optional SCF instruments can be especially beneficial for small–medium-sized enterprises (SMEs), which are more acutely affected when credit conditions tighten. This explorative research described the state of buyer-led SCF adoption in defense procurement contracts used to produce highly technical weapons systems. A case study research design with embedded units across four groups of intermediaries was employed to compare the state of SCF adoption between a defense and a commercial …

Does Herding Behavior Exist In The Cryptocurrency Market?, Anis Mnif

Doctoral Dissertations (DBA)

This paper examines herd behavior in the cryptocurrency market using data of the top 15 large cryptocurrencies and the CCi30 Index as a proxy for market return. The idea that investors mimic and follow the behavior of others in the cryptocurrency market rather than conducting their own research has received attention in the finance literature. The CSAD results in the static model detected herding but given the existence of structural breakdowns and nonlinearities in the data series, we opted to conduct a rolling window analysis. The results indicate strong herding behavior that fluctuates over time. Furthermore, results from the logistic …

Two Essays On Retail Trading, Qiqi Liang

Theses and Dissertations in Business Administration

Essay 1: Retail investors from the discount broker Robinhood swarm into stocks with pending earnings announcements and stay away from them immediately after the announcements. We study four competing explanations for this phenomenon: liquidity provision, informed trading, lottery preference, and attention-induced herding by noise traders. We find strong evidence that, immediately around earnings announcements, Robinhood investors’ behavior is primarily driven by attention-induced noise trading. Our results offer new insights into retail traders’ motivation for trading when they face heightened uncertainty from earnings announcements. Our study also goes beyond Barber et al.’s (2022) limited focus on the top 0.5% of the …

Two Essays On Investor Sentiment, Amin Amoulashkarian

Theses and Dissertations in Business Administration

The body of literature on investor sentiment underlines its impact on future stock returns, with general consensus that investor sentiments and future returns are negatively correlated (Baker and Wurgler, 2006; Brown and Cliff, 2004). This extends to the notion that a bullish investor would expect returns to be above average, while a bearish investor anticipates below-average returns (Brown and Cliff, 2004).

The first essay proposes a model to examine the influence of unexpected volatility of investor sentiment on the equity risk premium. Assumptions underpinning the model include risk-averse investors, homogeneous expectations regarding asset returns and price changes, and sentiment-influenced expectations …

Competition And Innovation In The Financial Sector: Evidence From The Rise Of Fintech Start-Ups, Doina Caragea, Theodor Florian Cojoianu, Mihai Dobri, Andreas Hoepner, Oana Peia, Davide Romelli

Research Collection College of Integrative Studies

This paper provides new evidence on the effects of entry on incumbents’ incentives to innovate by examining the rise of FinTech innovations over the period 2000-2016. We employ machine learning algorithms to classify a large sample of patent applications into five types of FinTech innovations. We then show that greater competition from innovators outside the financial sector increases the probability that incumbent financial firms will innovate. Our identification strategy exploits the variation over time in the share of FinTech patent applications by non-financial start-ups relative to incumbent financial firms, as a proxy for competitive pressures from outside the financial industry. …

Evolve Path Tracer: Early Detection Of Malicious Addresses In Cryptocurrency, Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu

Research Collection School Of Computing and Information Systems

With the boom of cryptocurrency and its concomitant financial risk concerns, detecting fraudulent behaviors and associated malicious addresses has been drawing significant research effort. Most existing studies, however, rely on the full history features or full-fledged address transaction networks, both of which are unavailable in the problem of early malicious address detection and therefore failing them for the task. To detect fraudulent behaviors of malicious addresses in the early stage, we present Evolve Path Tracer, which consists of Evolve Path Encoder LSTM, Evolve Path Graph GCN, and Hierarchical Survival Predictor. Specifically, in addition to the general address features, we propose …

The Future Of Cryptocurrency And Blockchain Technology In Finance, Wanyi Wong, Alan @ Ali Madjelisi Megargel

Research Collection School Of Computing and Information Systems

Cryptocurrencies have been all the rage in recent years, with many being drawn to their appeal as speculative investment assets. Its proponents also champion the secure and decentralised nature of the technology it is based on, called the blockchain. Given the secure nature of blockchain technology, the idea of adopting cryptocurrencies as legal tender currency has also been mooted and experimented with – with the most famous example being the Central American nation of El Salvador’s bold move to adopting the cryptocurrency Bitcoin as legal tender in September 2021. In theory, this would provide a solution to the high transaction …

Mastering Stock Markets With Efficient Mixture Of Diversified Trading Experts, Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An

Research Collection School Of Computing and Information Systems

Quantitative stock investment is a fundamental financial task that highly relies on accurate prediction of market status and profitable investment decision making. Despite recent advances in deep learning (DL) have shown stellar performance on capturing trading opportunities in the stochastic stock market, the performance of existing DL methods is unstable with sensitivity to network initialization and hyperparameter selection. One major limitation of existing works is that investment decisions are made based on one individual neural network predictor with high uncertainty, which is inconsistent with the workflow in real-world trading firms. To tackle this limitation, we propose AlphaMix, a novel three-stage …

Budgeting And Cataloging Enhancement For Small And Medium-Sized Enterprises Towards Sustainable Development Goals, Velicia Faustine Halim, Hasnul Suhaimi

Journal of Environmental Science and Sustainable Development

This paper describes a business coaching activity for small and medium enterprises (SMEs) in chemical and waste management industries. Based on the analysis results, there was a lack of budgeting practice and suboptimal catalog marketing that comprised the majority of existing problems in SMEs. This research aims to assist the SME in improving its budgeting practice and product catalog. The method used is a qualitative method based on a business coaching approach. The research instruments adopted included in-depth individual interviews (IDI). The collected data was then processed and analyzed, starting with generating the SME's business process and service blueprint, followed …

Cash Usage In Poland In 2020: Insights Into The Role Of The Covid-19 Pandemic And Spatial Aspects, Radosław Kotkowski, Arkadiusz Manikowski

Journal of Banking and Financial Economics

The study explores the factors likely to induce Polish customers to pay by cash, instead of payment cards, for goods and services they are purchasing. The basis of our investigation is microdata obtained in 2020, during the “Payment Habits in Poland in 2020” study, which was conducted by Narodowy Bank Polski (National Bank of Poland) in 2020. The analysis is performed using the two-stage Heckman approach. In the first stage, card adoption factors are analyzed using a probit model; then, in the second stage, the OLS model is employed to analyze the propensity to pay by cash, despite having a …

On Teaching Multi-Criteria Decision Making With A Robot Assistant, Chen Zhang, Hakan Saraoglu, David A. Louton

Information Systems and Analytics Department Faculty Conference Proceedings

We propose a system and method for a robot assistant for teaching multi-attribute decision making (MCDM). Through questions and answers in natural language, the robot assistant learns the user’s preferences on multiple criteria involving a selection decision and makes recommendations using data on each criterion and the learned user preferences. It will include a use-case demonstration where NAO the robot will assist a human in forming a simple portfolio of mutual funds. Presenters will illustrate the architecture of the robot assisted MCDM and describe a method that is extensively used to structure complex decision problems and has been applied to …

The Effect Of Sustainability Information Disclosure On The Cost Of Equity Capital: An Empirical Analysis Based On Gartner Top 50 Supply Chain Rankings, Lingyu Li, Xianrong Zheng, Shuxi Wang

Information Technology & Decision Sciences Faculty Publications

While disclosing financial information has been widely proved to reduce the financing cost of a company, the impact of non-financial information, such as sustainability information, disclosing on the financing cost of the company is still in debate. The goal of this paper is to explore the impact of disclosing sustainability-related information on the cost of equity for firms. The paper first introduces the concept of sustainability information disclosure, and then exhibits its benefit through exploring its impact on reducing a firm’s financing cost. It uses the Gartner supply chain top 50 rankings to construct the experiment environment to test for …

Blockchain And Regenerative Finance: Charting A Path Toward Regeneration, Marco Schletz, Axel Constant, Angel Hsu, Simon J.D. Schillebeeckx, Roman Beck, Martin Wainstein

Research Collection Lee Kong Chian School Of Business

The Regenerative Finance (ReFi) movement aims to fundamentally transform the governance of global common pool resources (CPRs), such as the atmosphere, which are being degraded despite international efforts. The ReFi movement seeks to achieve this by utilizing digital monitoring, reporting, and verification (D-MRV); tokenization of assets; and decentralized governance approaches. However, there is currently a lack of a clear path forward to create and implement models that actually drive the “Re-” in ReFi beyond perpetuating the existing extractive economics and toward actual regeneration. In addition, ReFi suffers from growing pains, lacking a common interoperability framework and definition for determining what …

Investigating The Relationship Between Monetary Policy, Macro-Prudential Policy And Credit Risk In Indonesia Banking Industry, Cep J. Anwar, Indra Suhendra, Eka Purwanda, Agus Salim, Nur A. Rakhmawati, Ferry Jie

Research outputs 2022 to 2026

Using a novel panel data set we study the influence of monetary and macro-prudential policies on non-performing loans as a measure of credit risk in Indonesian banking industry from Q1 2010 to Q4 2022. The panel homogeneity assumption was verified through the utilization of the Chow and Roy-Zellner tests. The findings showed that the model was not homogenous, necessitating the use of the Pooled Mean Group (PMG) estimator. The results indicated that monetary and macro-prudential policies significantly impacted credit risk. Furthermore, tight monetary and macro-prudential policies increased and reduced credit risk in the long run, respectively. The findings also showed …

Women’S Empowerment And Gender Equality In Philippine Agriculture: The Role Of Education And Public Policy, Agnes R. Quisumbing, Hazel J. Malapit

DLSU Business & Economics Review

This paper draws on previous work undertaken as part of the Gender, Agriculture, and Assets Project Phase Two (GAAP2), the CGIAR Research Program on Agriculture for Nutrition and Health (A4NH), and the CGIAR Research Program on Policies, Institutions, and Markets (PIM). Funding support for this study was provided by the Millennium Challenge Corporation (MCC) [Grant number: MCC-16-GRA-0007], Bill & Melinda Gates Foundation (BMGF) [Grant number: INY-008977], and A4NH. This work would not be possible without the collaboration of the Philippines Compact Development Team (CDT), led by Josef Yap, who provided helpful comments at various stages of this research project. Celia …

Risk For Thai Children From The Covid-19 Pandemic: Quantitative Analysis, Amornrat Apinunmahakul, Sasatra Sudsawasd, Prasopchoke Mongsawad

DLSU Business & Economics Review

The impacts of the Covid-19 pandemic on Thai children’s educational outcomes are examined based on a two- step analysis. First, the economic impact of the pandemic on household income is quantified by incorporating simulated

macroeconomic variables from the CGE model into a household-level data set. Next, these microsimulation results, along with the Thailand Multiple Indicator Cluster Survey data, are examined to identify the negative impact on children’s educational outcomes, using a binary logistic model. The result confirms the negative impact of Covid-19 on household incomes in all income classes. Unfortunately, households with children are hit harder than others in the …

Language And Economic Behavior Among Filipino Bilinguals: Two Studies In Honor Of Tereso S. Tullao, Jr., Gerardo L. Largoza, Emmanuel M. Garcia

DLSU Business & Economics Review

We report the results of two studies motivated by Tereso S. Tullao, Jr.’s conviction, first articulated nearly four

decades ago, that language matters in economic decision-making. In Study 1, following Chen (2013), we estimate a fixed- effects logit model on Wave 6 of the World Values Survey, and find that speakers of Cebuano (a “tenseless” language that only weakly distinguishes between present and future), are more likely to save than speakers of Tagalog (whose grammar clearly distinguishes between present and future). In Study 2, we conduct a large-scale dictator game experiment among 480 low- income students and find an unusual …