Finance and Financial Management Commons^™

Pengaruh Soft Total Quality Management Terhadap Kinerja Ukm Di Dki Jakarta: Pendekatan Balanced Scorecard, Aufa Yarzqi Zihni, Helman Arif

Jurnal Manajemen dan Usahawan Indonesia

This study aims to analyse the effect of Soft Total Quality Management (Soft TQM) on SME performance in Jakarta, both from financial and non-financial perspectives. We used a balanced scorecard (BSC) approach and collected 135 datasets through online surveys to the business owners/manager. Data analysis was carried out by Structural Equation Modelling (SEM) method. The results of the data analysis showed that soft TQM has a negative and not significant effect on SMEs financial perspective, however there is a positive and significant effect on SMEs non-financial perspective. This study also discovered that innovation and leaning perspective mediates the impact of …

Budgeting 102: Trip Budgeting, Kyla Harden

Goal 2: Life Skills Narrative

The purpose of this program is for students to gain knowledge on how to create a trip budget.

The Profitability And Credit Risk Of The Egyptian Banking Sector: Do Financial Technology Entrants Have An Impact?, Rania Pasha, Shaza Ayman Abdalla

Business Administration

This paper examines the impact of fintech on the profitability and credit risk of 20 banks in Egypt for the period from 2017 to 2021. ROA and ROE are used to measure profitability in addition to Z-score as a measure of credit risk. Moreover, new fintech indicators are employed in this study, as measured by the growth in fintech funding volume, growth in the number of fintech startups, and growth in the number of fintech funding deals. Fintech has demonstrated its impact on the profitability and level of credit risk in banks in different countries. Nevertheless, to the authors’ knowledge, …

Does The Presence Of Foreign Investors Affect Financial Reporting Quality In Philippine Publicly Listed Firms?, Natasha Amber Y. Cabiltes, Megan Justine Siao Beltran, John Miguel Roger Dela Cruz Benito, Gianna Zenovia Domingo Agaton, Mariel Monica R. Sauler, Angelo A. Unite

Angelo King Institute for Economic and Business Studies (AKI)

Reinstate accounting conservatism in the Conceptual Framework – Our findings should be of interest to accounting standard setters, given the ongoing debate on the necessity for accounting conservatism as a characteristic for useful financial statements after its initial removal from the conceptual framework in 2010. While there are arguments that conservatism violates the neutrality of financial reports, further discussions show that conservatism can give a more faithful representation of firm performance (Cooper, 2015; International Accounting Standards Board, 2018).

The Value Of Official Website Information In The Credit Risk Evaluation Of Smes, Cuiqing Jiang, Chang Yin, Qian Tang, Zhao Wang

Research Collection School Of Computing and Information Systems

The official websites of small and medium-sized enterprises (SMEs) not only reflect the willingness of an enterprise to disclose information voluntarily, but also can provide information related to the enterprises’ historical operations and performance. This research investigates the value of official website information in the credit risk evaluation of SMEs. To study the effect of different kinds of website information on credit risk evaluation, we propose a framework to mine effective features from two kinds of information disclosed on the official website of a SME—design-based information and content-based information—in predicting its credit risk. We select the SMEs in the software …

Estimating Financial And Environmental Risk: Some New Developments And Comparison Study., Fnu Kamronnaher

All Dissertations

This dissertation delves into the concept of risk, specifically focusing on two prominent categories: financial risk and environmental risk.

Financial risk is the probability of unfavorable outcomes of an investment while environmental risk refers to the possible harm to the environment resulting from extreme weather events. More specifically, risk is the high (low) quantiles of the distribution of variables of interest. \\ To quantify and assess uncertainties in financial and environmental risk, robust and reliable methodologies are needed. The aim of this dissertation is to develop some risk assessment methods and compare them with the widely used methodologies in both …

An Analysis On The Efficiency Of Philippine Microfinance Institutions: A Stochastic Frontier Approach, Ryan Lou Dio, Elijah Jacob Mendoza, Lunette Clarisse Nunez, Ma. Ellory Villanueva, Myrna S. Austria, Tereso S. Tullao Jr

Angelo King Institute for Economic and Business Studies (AKI)

Microfinance institutions (MFIs) were created to provide loans and financial services for the poor as commercial banks have requirements that are not accessible to them. The Philippines government soon started using MFIs as a poverty alleviation tool to answer the market failure created by the commercial banking industry since it cannot accommodate the needs of low-income earners due to the high costs attached to it. However, recent studies have shown that MFIs are “mission drifting,” which means that they are deviating from their original social purpose and becoming more financially driven. As a result, this paper estimates the financial and …

Modelling Sentiment And Trader Aggressiveness In Cryptocurrency Markets: An Empirical Analysis Of The Bitcoin Limit Order Book., Angelique Nicole Huei Yin Thang

Dissertations and Theses Collection (Open Access)

Cryptocurrency assets are inherently susceptible to social sentiment. Due to emotional contagion, extreme emotions influence and drive traders’ order execution behaviour. This study aims to empirically model the relationship between sentiment and trader aggressiveness for two types of traders: Whales and Retails. Additionally, I uncover the mediating roles of momentum, mean reversion, and market timing underpinning the dynamics of the off-chain Bitcoin market. Time series data collected from the Coinbase level 3 Bitcoin limit order book is first reconstructed to access its core structure. Next, sentiment data from Reddit is extracted and processed using an internal Natural Language Processing pipeline. …

The Relationship Between Reits Industry Characteristics And Project Performance: The Moderating Role Of Macroeconomic Fluctuations, Ying Cai

Dissertations and Theses Collection (Open Access)

As a distinct investment vehicle, Publicly Listed Real Estate Investment Trusts (REITs) projects enable real estate projects to be listed on the stock market. This study begins with the industry attributes of the underlying assets of Publicly Listed REITs projects. Using econometric methods, it analyzes the variances in market performance between growth and defensive REITs, based on annual data from 1,674 REITs products in the United States from 2005 to 2022 and 27 listed REITs in China from Q3 2021 to Q1 2023. The study also leverages the data from China to explore the moderating effects of macroeconomic factors such …

An Empirical Investigation Of The Relationship Between Global Copper Prices And Us Industrial Production, Paa Kow Cole

Doctoral Dissertations (DBA)

This research examines the relationship between copper Prices and US Economy proxied by the Industrial Production Index. Copper's physical properties make it suitable for various industrial uses, making it an integrated element of the US economy. Industrial production is one of the leading indicators of gross domestic product, reflecting a country's overall economic performance. Therefore, as an essential input in industrial production, the direction of copper prices is important for the overall economy. We employed the Granger causality and ARDL models to evaluate the relationship between Global Copper Prices and Industrial Production. Using monthly time series data for global copper …

The Economics Of Financial Scams: Evidence From Initial Coin Offerings, Kenny Phua, Bo Sang, Chi Shen Wei, Gloria Yang Yu

Research Collection Lee Kong Chian School Of Business

We examine the economics of financial scams by analyzing the market for initial coin offerings (ICOs). Using data snapshots of 5,873 ICOs, we find that irregularities in ICO characteristics across listing websites predict higher scam risk and are likely intentional. These patterns are consistent with a model where malicious issuers maximize profits by using irregularities to screen for naïve investors. Almost half of the ICOs in our sample may be scams, amounting to more than U.S. $6 billion in losses. Our results draw attention to the frequent use of screening mechanisms in financial scams.

Leviathan Inc. And Corporate Environmental Engagement, Po-Hsuan Hsu, Hao Liang, Pedro Matos

Research Collection Lee Kong Chian School Of Business

In a 2010 special report, The Economist magazine termed the resurgence of state-owned, publicly listed enterprises “Leviathan Inc.” and criticized the poor governance and low efficiency of these firms. We compile a new comprehensive data set of state ownership of publicly listed firms in 44 countries over the period of 2004–2017 and show that state-owned enterprises are more responsive to environmental issues. The effect is more pronounced in economies lacking energy security and strong environmental regulation, and among firms with more local operations and higher domestic government ownership. We find a similar effect on corporate social engagement but not on …

Partisanship In Loan Pricing, Ramona Dagostino, Janet Gao, Pengfei Ma

Research Collection Lee Kong Chian School Of Business

Does partisanship influence the way investors price financial assets? Using voter registration data of bankers originating large corporate loans, we show that bankers whose party differs from that of the U.S. President charge 7% higher loan spreads than other bankers. This effect holds regardless of borrowers’ partisanship, and becomes stronger for politically active bankers and when partisan media exhibit greater disagreement. Bankers do not match disproportionately with co-partisan borrowers but they lead syndicates more frequently with co-partisan bankers. Our results are not driven by bank or borrower fundamentals, but suggest that investor optimism, driven by political alignment, shapes asset prices.

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 …

How Commonality Persists? (Through Investors' Sentiment And Attention), Chyng Wen Tee, Raja Velu, Zhaoque Zhou

Research Collection Lee Kong Chian School Of Business

Studies on commonality generally attribute the variation in asset returns to the variation in order flows. In this research study, we show that order flows do not predict asset returns, rather their relationship have been static over time. Thus we model both returns and the order flows as endogenous variables, and use investors' sentiment and attention as exogenous factors via a reduced-rank regression. We provide empirical evidence to demonstrate that cross-sectional commonality in attention (sentiment) is linearly (nonlinearly) associated with both returns and order flows at the intraday level, while the sentiment and attention measures themselvesexhibit a nonlinear mutual relationship, …

In Search Of Cryptocurrency Failure, Donglian Ma, Jun Tu, Zhaobo Zhu

Research Collection Lee Kong Chian School Of Business

This paper explores the determinants of cryptocurrency failure and the pricing of crypto failure risk. We document different significant market- and characteristic-based predictors for coin and token failures. The introduction of Bitcoin futures and the outbreak of COVID19 affect the importance of many predictors. Investors require extra return for bearing high failure risk of crypto assets. The return difference across high and low failure risk crypto assets is not explained by the market, size and momentum factors in the cryptocurrency market. Finally, investors benefit from diversifying into high failure risk crypto assets that is little correlated with the stock market.

Billion Dollar Whale, David Mcclough

The Journal of Economics and Politics

No abstract provided.

Disentangling Trend Risk And Basis Risk With Functional Time Series, Yanxin Liu, Johnny Siu-Hang Li

Department of Finance: Faculty Publications

In recent multi-population stochastic mortality models, one critical scientific issue is the vague distinction between trend risk and population basis risk. In particular, the cross- and auto-correlations between the innovations of the latent factors representing the common trend and the population-specific trends are often assumed to be non-existent, although they are possibly statistically significant. While it is theoretically possible to capture such correlations by treating the latent factors as a vector time series, the resulting model would contain a large number of parameters, which may in turn lead to robustness problems. In this paper, we address these issues by the …

Policy Research On Allocation Of Science And Technology Funds For State Key Laboratory After Reorganization, Bo Zhang, Xue Wang, Congli Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

The state key laboratory is an important component of the national strategic scientific and technological strength. The CPC Central Committee made a major decision to reorganize the state key laboratory system, proposed to increase investment in the reorganized state key laboratory, and to reform support policies. Aiming to achieve sci-tech self-reliance and self-strengthening at higher levels, studying the funds allocation of state key laboratory in the new era has important practical and far-reaching significance. In the previous practice, China’s allocation of funds for state key laboratory has 4 problems, such as weak correlation between fund allocation and the mission orientation …

Analysis Of Us Airline Stocks Performance Using Latent Dirichlet Allocation (Lda), Amina Issoufou Anaroua

Beyond: Undergraduate Research Journal

Various events, such as changes in the interest rate or the hijacking of a commercial aircraft, can lead to significant shifts in airline stock performance. This study aimed to measure the impact of aviation-related news announcements on the stock performance of US airlines, focusing on different topics. The dataset included aviation news covering airlines, airports, regulations, safety, accidents, manufacturers, MRO, incidents, aviation training, general aviation, and others obtained from Aviation Voice. To uncover patterns that could explain the movements of US airline stocks, a natural language processing technique called Latent Dirichlet Allocation (LDA) was employed. The process involved text mining …