Finance Commons^™

Research On The Impact Investment Evaluation System For Photovoltaic Power Generation Projects, Shumeng Tong

Dissertations and Theses Collection (Open Access)

This study aims to put forward a more comprehensive and scientific impact of photovoltaic power generation project investment evaluation system, in order to make up for the inadequacy of existing research, for photovoltaic power generation project investment decision-making to provide a more powerful support. The conclusions and contributions of this study are as follows.

（1）Build impact of photovoltaic power generation project investment evaluation system, can comprehensively reflect more interests related subject of value, makes up for the traditional investment evaluation tend to focus on economic benefit analysis of the defects.

（2）The impact investment evaluation system of this study highlights the …

Flow Experience In Immersive Tourism Performance: Antecedents And Tourists’ Satisfaction, Xiaoli Zhu

Dissertations and Theses Collection (Open Access)

With the deep integration of culture and tourism, immersive tourism performance has emerged as a new form of experiential consumption and has gradually become an essential vehicle for shaping destination branding and enhancing tourists’ cultural identity. By breaking the boundaries of traditional stages and integrating spatial construction, narrative mechanisms, and multidimensional interactive experiences, immersive performances create a sense of presence and immersion for tourists. This study focuses on the mechanism influencing tourists’ flow experience and satisfaction in immersive tourism performances. A theoretical model incorporating authenticity, interactivity, sense of presence, and value congruence was constructed and tested to reveal how multidimensional …

Research On The Influence Of The Quantity And Quality Of Young Talents On Regional Economic Development, Jinzhao Liu

Dissertations and Theses Collection (Open Access)

This study focuses on the critical impact of both the quantity and quality of young talent on regional, particularly urban, economic development in terms of pace and quality. The paper examines how educated and innovative youth serve as catalysts for economic progress, driving innovation and entrepreneurship in urban areas. Through an examination of economic growth theories and innovation-driven development models, the research employs a Cobb-Douglas production function for empirical analysis, revealing the significant positive influence of high-quality young populations on regional GDP growth.

Concurrently, case studies of Zhongguancun and Suzhou's textile industry demonstrate the transformative power of young talent in …

Research On The Mechanism Of China's Stock Market And The Efficiency Of Factor-Based Stock Selection Strategies, Huaixiang Xing

Dissertations and Theses Collection (Open Access)

Based on the data of 4280 firms listed on China's A-share market from 2010 to 2023, this paper constructs 20 market factors and 4 financial factors to systematically study multi factor stock selection strategies in China's stock market. Furthermore, this article analyzes the impact of China's capital market mechanisms on stock selection strategies, which include margin trading and securities lending mechanism, Mainland-Hong Kong Stock Connect mechanism, analyst coverage mechanism, and information disclosure mechanism. The main conclusions are as follows:

Firstly, this paper reveals that 12 market factors, including size, price, and liquidity are all effective pricing factors, and the strategy …

How Do Insurance Companies Manage Reserves? Evidence From Reserve Errors Across Lines Of Business And Accident Years, Jing Rong Goh, Shinichi Kamiya, Pingyi Lou

Research Collection School Of Economics

We study the question of how insurance companies manage reserves. Specifically, we investigate how managerial incentives affect insurers’ reserving practice across lines of business (LOBs) and accident years (AYs). Because the tax discount factor the tax authority assigns varies across LOBs and AYs, insurers with stronger tax-saving incentives will be inclined to manage reserves across both LOBs and AYs. In contrast, since the Risk Based Capital (RBC) regime specifies different industry worst-case factors across LOBs, insurers with stronger incentives to increase their RBC ratio will be inclined to manage reserves across LOBs. Regarding income-smoothing incentives, only the overall level (and …

Something In The Air: Does Air Pollution Affect Fund Managers’ Carbon Divestment?, Thanh Huynh, Frank Weikai Li, Ying Xia

Research Collection Lee Kong Chian School Of Business

We examine whether fund managers overestimate carbon risk when they are exposed to local air pollution. We find that air pollution causes managers to underweight stocks of high-emission firms. The effects are stronger for less salient scopes of carbon emissions, among managers located in pro-environmental states, and among those likely to be surprised by air pollution—consistent with the idea that managers revise their beliefs about climate-transition risk following their exposure to air pollution. Carbon-intensive stocks sold by managers who are exposed to air pollution subsequently outperform stocks that they buy, suggesting that such underweighting is costly to fund investors.

Redesigning Home Reversion Products To Empower Retirement For Singapore's Public Flat Owners, Koon Shing Kwong, Jing Rong Goh, Jordan Jie Xin Lee, Ting Lin Collin Chua

Research Collection School Of Economics

This paper introduces an innovative sell-type home reversion product aimed at monetizing Singapore’s public flats, serving as a new alternative to the existing Singapore Lease Buyback Scheme (LBS). This new product not only retains the LBS’s guaranteed period of residence in the property along with life annuity incomes but also enhances the product features to meet specific homeowner needs, including the ability to age in place, flexibility in retaining part of the property, options for bequests, and guaranteed principal return. By incorporating these additional features, the new product seeks to stimulate greater demand for monetizing public flats among asset-rich but …

Gauging Growth Risk In An International Financial Centre: Some Evidence From Singapore, Hwee Kwan Chow

Research Collection School Of Economics

This paper applies the growth-at-risk framework proposed by Adrian et al. (2019) to Singapore, an international financial centre whereby financial shocks are intermediated away quickly. We gauge near-term risks around growth projections taken from the survey of professional forecasters by accounting for financial stress in both local and global financial markets, as well as worldwide economic uncertainty. The conditioning variables are first linked to future growth through quantile regressions, and the estimated quantiles are fitted with skew t-distributions to produce full predictive distributions. Scenario analysis reveals that greater local financial strain tends to widen the uncertainty of growth outlook, higher …

Bogging Down Investors: An Unintended Consequence Of Litigation Risk, Siwen Fu, Ke Wang, Liandong Zhang, Liu Zheng

Research Collection School Of Accountancy

Securities litigation risk is a well-recognized yet underexplored source of financial reporting complexity or unreadability. This study examines the effect of litigation risk on the readability of corporate financial reports. The 1999 Silicon Graphics Inc. (SGI) court ruling unexpectedly reduced litigation risk for firms within the Ninth Circuit Court’s jurisdiction. Using a difference-in-differences design centered on the SGI court ruling, we find that, while the readability of financial reports generally declines over the sample period, treated firms in the Ninth Circuit experience a comparatively smaller decline in readability than control firms in other states after the ruling. Put differently, treated …

Bank Competition Amid Digital Disruption: Implications For Financial Inclusion, Erica Xuewei Jiang, Yang Gloria Yu, Jinyuan Zhang

Sim Kee Boon Institute for Financial Economics

We study how digital disruption impacts bank competition, considering consumers’ heterogeneous digital preferences. We find that the rollout of 3G networks contracts bank branch networks and leads to divergence in branching and pricing strategies across banks. These developments benefit young consumers but increase the unbanked rate for poorer and older consumers. A structural model shows that the higher perceived digital quality by younger borrowers mainly prompts these adjustments, causing significant surplus losses for older savers. Counterfactual exercises illustrate that subsidizing older savers opting for mobile banking effectively offsets these disparities at minimal cost, facilitating a smoother digital transition.

Universal Return And Factor Timing, Poh Ling Neo, Chyng Wen Tee, Jeroen Kerkhof

Research Collection Lee Kong Chian School Of Business

The authors highlight the shortcomings of commonly used performance graphs in assessing and comparing investment returns. This paper's main conceptual contribution is the introduction of Universal Return (UR) - a visual method to evaluate and rank investment strategies that challenges the traditional focus on raw performance statistics. The authors argue that the ranking of investment performance when viewed from a pool of investors over different entry time is more important than its overall absolute returns, as it better aligns investment analysis with the needs of investors, who are primarily concerned with identifying currently successful strategies or managers rather than dwelling …

A Practical Guide To Driving Financial Inclusion Through Cbdcs, Heng Wang

Research Collection Yong Pung How School Of Law

Welcome back to our blog series exploring the potential that central bank digital currencies (CBDCs) hold to positively impact individuals that are currently unserved or underserved by financial systems globally. Together with Professor Wang, we first delved into the challenges and opportunities of driving financial inclusion, and how CBDCs could serve as an important mechanism in ensuring that no one is excluded from financial services – or our increasingly digital economies and societies. In our second blog we then examined how CBDCs can be intentionally designed to drive financial inclusion. In this third and final piece, Professor Wang offers a …

An Empirical Test Of Auction Efficiency: Evidence From Mbs Auctions Of The Federal Reserve, Pietro Bonadi, Ali Hortacsu, Zhaogang Song

Research Collection Lee Kong Chian School Of Business

PurposeWe estimate the marginal cost curve of each dealer in each auction, based on structural models of the multiunit discriminatory-price auction.Design/methodology/approachAuction theory has ambiguous implications regarding the relative performance of three formats of multiunit auctions: uniform-price, discriminatory-price and Vickrey auctions. We evaluate the performance of these three auction formats using bid-level data of the Federal Reserve’s purchase auctions of agency MBS from June 2014 through November 2014.FindingsOur results suggest that neither uniform-price nor Vickrey auctions outperform discriminatory-price auctions in terms of the total expenditure. However, Vickrey auctions outperform discriminatory-price auctions in terms of efficiency, with the efficiency gain around 0.74% …

Do Women Receive Worse Financial Advice?, Utpal Bhattacharya, Amit Kumar, Sujata Visaria, Jing Zhao

Research Collection Lee Kong Chian School Of Business

We arranged for trained undercover men and women to pose as potential clients and visit all 65 local financial advisory firms in Hong Kong. At financial planning firms, but not at securities firms, women were more likely than men to receive advice to buy only individual or only local securities. Female clients who signaled high confidence, high risk tolerance, or a domestic outlook were especially likely to receive this suboptimal advice. Our theoretical model explains these patterns as a result of statis-tical discrimination interacting with advisors’ incentives. Taste-based discrimination is unlikely to explain the results.

Machine Learning As Arbitrage: Can Economics Help Explain Ai?, Huahao Lu, Matthew Spiegel, Hong Zhang

Sim Kee Boon Institute for Financial Economics

Machine learning algorithms have shown to be remarkably successful tools for predicting asset returns. However, the underlying economic mechanisms behind their performance remain unclear. This paper proposes a model-based dynamic arbitrage trading strategy that combines economic and statistical nonstationarity to demystify this black box. In predicting stock returns based on 153 firm characteristics (anomalies), our strategy ranks anomalies similarly to neural networks in the cross-section. Overall, it accounts for approximately 87.9 bps monthly alphas of the high-minus-low portfolios selected by neural networks in the time series. When unpublished anomalies and microcap stocks are excluded from trading, this strategy can fully …

Financial Crises, Bailouts And Monetary Policy In Open Economies, Yang Jiao

Research Collection School Of Economics

I jointly study the optimal bailout policy and monetary policy in open economies that borrow in foreign currency from international lenders. A policy dilemma emerges during financial crises. Policymakers trade off the benefit of more bailouts alleviating firms’ financial constraints against the cost of larger currency devaluation, which tightens firms’ financial constraints. I embed the optimal bailout in an otherwise standard “sudden stop” model with nominal rigidities. The model sheds light on the role of bailouts and currency mismatch in driving the exchange rate dynamics, firms’ balance sheets and economic recovery. Quantitatively, the model matches key business cycle moments. A …

Geographic Links And Predictable Returns, Zuben Jin, Frank Weikai Li

Research Collection Lee Kong Chian School Of Business

Using establishment-level data of U.S. public firms, we construct a novel measure of geographic linkage between firms. We show that the returns of geography-linked firms have strong predictive power for focal firm returns and fundamentals. This effect is distinct from other cross-firm return predictability and is not easily attributable to risk-based explanations. It is more pronounced for focal firms that receive lower investor attention, are more costly to arbitrage, and during high sentiment periods. The cross-firm information spillovers and return predictability are also stronger for geographic peers with economic linkages and with positive information. Our results are broadly consistent with …

The Interaction Effects Of Fintech And Bank Lending On Growth: Evidence From The Asean Region, Tan Swee Liang

Research Collection School Of Economics

This study examined the interaction effects of traditional bank lending and emerging fintech credit on economic growth in six ASEAN economies from 2013 to 2020. Using a two-way fixed effects (FE) model and the panel-corrected standard error (PCSE) method, the study found a statistically significant and positive interaction effect between bank lending and fintech credit. Specifically, fintech credit became increasingly important in shaping economic growth as bank lending ratios exceeded a certain threshold. Countries with high bank lending ratios experienced greater GDP per capita growth when accompanied by greater fintech credit. These findings suggest that policies supporting fintech development alongside …

Digital Payments And Consumption: Evidence From The 2016 Demonetization In India, Sumit Agarwal, Pulak Ghosh, Jing Li, Tianyue Ruan

Research Collection School Of Economics

We study how consumer spending responds to digital payments, using the differential switch to digital payments across consumers induced by the sudden 2016 Indian Demonetization for identification. Usage of digital payments rose by 3.38 percentage points and monthly spending increased by 3% for an additional 10 percentage points in prior cash dependence. Spending remained elevated even when cash availability recovered. Robustness analyses show that the spending response is not driven by income shocks, credit supply, price changes, or consumers' moving to the formal market. We provide evidence that digital payments increase consumer spending due to subdued salience.

How Can Cbdcs Be Designed To Drive Financial Inclusion?, Heng Wang

Research Collection Yong Pung How School Of Law

As a new form of national currency, central bank digital currencies (CBDCs) hold the potential to be a transformative innovation that can enhance financial inclusion. However, the realization of this potential is very much contingent on their design. The realization of the benefit is also influenced by the barriers to financial inclusion that were identified in our first blog such as financial literacy, digital divide, and complexity.

Cross-Exchange Crypto Risk: A High-Frequency Dynamic Network Perspective, Yifu Wang, Wanbo Lu, Min-Bin Liu, Rui Ren, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

Cross-exchange crypto trading presents inherent risks, particularly for centralized exchanges. Investors observe exacerbating crypto volatility and counterparty risk and would like to quantify these elements of crypto trades. The multiple exchanges require a multivariate view on the structures of risk spillover across exchanges. Here, a Multivariate Heterogeneous AutoRegression (MHAR) model is designed and analyzed, accommodating the stylized facts of crypto markets, including 24/7 trading and the long-memory effect on return variations. The proposed MHAR approach clearly reveals the intensity of interconnectedness among exchanges during extreme events, e.g., the Bitcoin market. Additionally, one observes extremely volatile eigenvector centralities of Futures Exchange …

Bubbly Booms And Welfare, Feng Dong, Yang Jiao, Haoning Sun

Research Collection School Of Economics

We show the competing effects of a housing bubble on the real economy by developing a multi-sector dynamic model with housing production. On the one hand, firms can sell or collateralize their housing, so a housing bubble helps firms obtain credit to finance their investment and expand production. On the other hand, a boom in the housing sector crowds out labor in the non-housing sector. We show that housing booms can reduce social welfare both in the steady state and in the transitional dynamics only when the production externalities in the non-housing sector are sufficiently large. We quantitatively evaluate our …

The Role Of Macroprudential Policies Under Carbon Pricing, Maria Teresa Punzi

Sim Kee Boon Institute for Financial Economics

This paper analyses the effectiveness of macroprudential policy on macro-financial fluctuations when the government enforces carbon pricing to reduce carbon emissions and achieve the net-zero target. A carbon tax policy alone can reduce carbon emissions by 2030, but at the cost of a deep and prolonged recession, with consequential financial instability due to a higher probability of default on entrepreneurs in the brown sector. This result suggests that carbon pricing should be coupled with complementary policies, such as macroprudential policy. In particular, differentiated LTV ratios and differentiated capital requirements that penalize the brown sector in favour of the green sector …

The Research Of The Non-Financial Factors In The Investment Decision, Wenbiao Hou

Dissertations and Theses Collection (Open Access)

Driven by globalization and technological innovation, the complexity of investment decisions is continuously increasing. While traditional financial factors still play a crucial role in these decisions, an increasing number of real-life cases indicate that investors are relying more on non-financial factors. This paper systematically analyzes the impact of these non-financial factors in the framework of investment decision-making.

This paper employs a mixed research method, incorporating both qualitative and quantitative analyses to ensure comprehensive coverage of the topic. First, it outlines the theoretical basis and development of non-financial factors in investment decisions through a review of prior literature. Next, it collects …

Does Generative Ai Facilitate Investor Trading? Evidence From Chatgpt Outages, Qiang Cheng, Pengkai Lin, Yue Zhao

Research Collection School Of Accountancy

In this paper, we use ChatGPT outages to investigate whether investors rely on generative artificial intelligence (GAI) to perform trading-related tasks and the associated impact on stock price informativeness. We first document a significant decline in stock trading volume during ChatGPT outages and find that the effect is stronger for firms with corporate news released immediately before or during the outages. We further document similar declines in the short-run price impact, return variance, and bid-ask spreads, consistent with a reduction in informed trading during the outage periods. Lastly, we use trading volume changes during outages to construct a firm-level measure …

Better The Devil You Know: Improved Forecasts From Imperfect Models, Dong Hwan Oh, Andrew John Patton

Research Collection School Of Economics

Many important economic decisions are based on a parametric forecasting model that is known to be good but imperfect. We propose methods to improve out-of-sample forecasts from a misspecified model by estimating its parameters using a form of local M estimation (thereby nesting local OLS and local MLE), drawing on information from a state variable that is correlated with the misspecification of the model. We theoretically consider the forecast environments in which our approach is likely to offer improvements over standard methods, and we find significant forecast improvements from applying the proposed method across four distinct empirical analyses including volatility …

Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper analyzes a mix of alternative policies in supporting the green transition and the phase-out of fossil fuels, without compromising financial stability. An environmental dynamic stochastic general equilibrium (E-DSGE) model with two sectors (green and brown) and endogenous default is developed to assess potential climate-induced financial stability threats that can be mainly generated through physical and transition risks mechanism. Those risks are evaluated through a compound capital depreciation shock and a carbon tax shock. The paper offers several findings. First of all, a too stringent carbon tax would increase the medium-term default rate in both sectors, harming financial stability …

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 …

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 …