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Articles 1 - 30 of 731
Full-Text Articles in Finance and Financial Management
Specifying And Estimating Vector Autoregressions Using Their Eigensystem Representation, Leo Krippner
Specifying And Estimating Vector Autoregressions Using Their Eigensystem Representation, Leo Krippner
Sim Kee Boon Institute for Financial Economics
This article introduces the principles and mechanics of the eigensystem vector autoregression (EVAR) framework, where a VAR may be specified and estimated directly via its eigenvalue and eigenvector parameters. Using explicit constraints on the eigensystem permits control of a VAR ís allowable dynamics, which is illustrated empirically with standard and time-varying VAR estimations specified to be always non-explosive.
Bidding Strategy For A Wind Power Producer In Us Energy And Reserve Markets, Anne Stratman
Bidding Strategy For A Wind Power Producer In Us Energy And Reserve Markets, Anne Stratman
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Wind power is one of the world's fastest-growing renewable energy resources and has expanded quickly within the US electric grid. Currently, wind power producers (WPPs) may sell energy products in US markets but are not allowed to sell reserve products, due to the uncertain and intermittent nature of wind power. However, as wind’s share of the power supply grows, it may eventually be necessary for WPPs to contribute to system-wide reserves. This paper proposes a stochastic optimization model to determine the optimal offer strategy for a WPP that participates in the day-ahead and real-time energy and spinning reserve markets. The …
Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao
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 …
“Safe” Annuity Retirement Products And A Possible Us Retirement Crisis, Thomas E. Lambert, Christopher B. Tobe
“Safe” Annuity Retirement Products And A Possible Us Retirement Crisis, Thomas E. Lambert, Christopher B. Tobe
Faculty Scholarship
This paper examines a looming possible crisis in many Americans’ retirement plans due to the proliferation of annuity products in their retirement investment portfolios. As defined benefit pension plans have almost completely disappeared as a means of retirement savings and have been replaced by defined contribution retirement plans over the last 40 to 50 years, a great number of private and public sector defined contribution retirement plans have become laden with insurance contracts called annuities. Of the remaining solid defined benefit plans many, through a process called Pension Risk Transfer are being converted to high-risk single entity annuities. Such products …
Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta
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 …
Navigating Geopolitical Crises For Energy Security: Evaluating Optimal Subsidy Policies Via A Markov Switching Dsge Model, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao
Navigating Geopolitical Crises For Energy Security: Evaluating Optimal Subsidy Policies Via A Markov Switching Dsge Model, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao
Sim Kee Boon Institute for Financial Economics
This paper aims to provide insights on the design of optimal subsidy policies to enhance energy security amidst energy disruptions triggered by geopolitical conflicts. We introduce a novel Markov switching dynamic stochastic general equilibrium (MS-DSGE) model to address the limitations of existing integrated assessment models in environmental evaluation. These models often fail to adequately consider the environmental and economic impacts of geopolitical conflicts and do not prioritize energy security sufficiently in policymaking. Our application of the MS-DSGE model to the Russia–Ukraine conflict reveals significant decreases in output, social welfare, and energy consumption during disruptions. The mere anticipation of an energy …
Local Institutional Investors And Corporate Monitoring: Evidence From Cross-Listed Korean Stocks In The Us Market, Changhwan Choi, Chune Young Chung, Jun Myung Song
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
Shadow Bank, Risk-Taking, And Real Estate Financing: Evidence From The Online Loan Market, Xiaoying Deng, Chong Liu, Eng Seow Ong
Shadow Bank, Risk-Taking, And Real Estate Financing: Evidence From The Online Loan Market, Xiaoying Deng, Chong Liu, Eng Seow Ong
Research Collection Lee Kong Chian School Of Business
This paper examines whether and how individual risk-taking behavior affects real estate financing through shadow banks. Using the loan data from an online platform in China, we show that riskier households tend to employ online loans to meet the increasing down-payment in their home purchase. Individual investors are likely to fund riskier real estate loans with higher expected returns. Real estate loans experience higher ex-post default rates than other types of loans. The effect is more pronounced during the period of credit constraints.
Geographic Links And Predictable Returns, Zuben Jin, Frank Weikai Li
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 …
Market For Manipulable Information, Hui Chen, Jian Sun
Market For Manipulable Information, Hui Chen, Jian Sun
Research Collection Lee Kong Chian School Of Business
We study how investors, firms, and information sellers interact in a market with manipulable information. To better predict the firm characteristics they care about, investors can buy a score from a monopolistic information seller, which aggregates signals that are subject to firm manipulation. The average degree of signal manipulability has no effect on the equilibrium, while the uncertainty about manipulability becomes a new source of noise. Its contribution depends on firms' incentive to manipulate the signals, which in turn depends on the equilibrium price sensitivity to the score. The optimal design of the score weighs signal precision against the endogenous …
On Sgx’S Voyage To Corporate Sustainability: Exploring Emerging Topics In Multi-Industry Corpora, Xinwen Ni, Min Bin Lin, Simon J.D. Schillebeeckx, Wolfgang Karl Hardle
On Sgx’S Voyage To Corporate Sustainability: Exploring Emerging Topics In Multi-Industry Corpora, Xinwen Ni, Min Bin Lin, Simon J.D. Schillebeeckx, Wolfgang Karl Hardle
Research Collection Lee Kong Chian School Of Business
Topic modeling and LDA (Latent Dirichlet Allocation) have proven valuable in various fields as an innovative approach to studying areas of interest and identifying topics in a dynamic content. The underlying assumption is that techniques like LDA can swiftly capture emerging topics in textual documents compared to other categorization tools. These unsupervised approaches have been used to identify new industries and technological domains. However, our study on the nascent topic of “sustainability” within the corpora of SGX-listed companies highlights clear limitations in employing techniques like LDA on sparse data. The dynamic LDA approach, also called DTM (Dynamic Topic Modelling),based on …
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
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 …
Are Bond Returns Predictable With Real-Time Macro Data?, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou
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 …
In Search Of Cryptocurrency Failure, Donglian Ma, Jun Tu, Zhaobo Zhu
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.
The Value Of Official Website Information In The Credit Risk Evaluation Of Smes, Cuiqing Jiang, Chang Yin, Qian Tang, Zhao Wang
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 …
How Commonality Persists? (Through Investors' Sentiment And Attention), Chyng Wen Tee, Raja Velu, Zhaoque Zhou
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, …
Time To Regulate Influencers Who Tell You Where To Put Your Money, Patricia Lui
Time To Regulate Influencers Who Tell You Where To Put Your Money, Patricia Lui
Research Collection Lee Kong Chian School Of Business
Financial scandals elsewhere have shown that ‘finfluencers’ do not always act in good faith and can mislead their followers.
Money Changers Have Their Own Fintech Disruption To Grapple With, Aurobindo Ghosh
Money Changers Have Their Own Fintech Disruption To Grapple With, Aurobindo Ghosh
Research Collection Lee Kong Chian School Of Business
In a commentary, SMU Assistant Professor of Finance (Education) and Director of the Citi Foundation-SMU Financial Literacy Programme for Young Adults Aurobindo Ghosh discussed the outlook for money changers in a world of multi-currency apps. He however noted money changers still have a role to play, and shared his views on how money changers can respond to technological disruption.
Estimating And Applying Autoregression Models Via Their Eigensystem Representation, Leo Krippner
Estimating And Applying Autoregression Models Via Their Eigensystem Representation, Leo Krippner
Sim Kee Boon Institute for Financial Economics
This article introduces the eigensystem autoregression (EAR) framework, which allows an AR model to be specified, estimated, and applied directly in terms of its eigenvalues and eigenvectors. An EAR estimation can therefore impose various constraints on AR dynamics that would not be possible within standard linear estimation. Examples are restricting eigenvalue magnitudes to control the rate of mean reversion, additionally imposing that eigenvalues be real and positive to avoid pronounced oscillatory behavior, and eliminating the possibility of explosive episodes in a time-varying AR. The EAR framework also produces closed-form AR forecasts and associated variances, and forecasts and data may be …
Digital Wealth Management And Consumption: Micro Evidence From Individual Investments, Qian Gong, Mingyuan Ban, Yunjun Yu, Luying Wang, Yan Yuan
Digital Wealth Management And Consumption: Micro Evidence From Individual Investments, Qian Gong, Mingyuan Ban, Yunjun Yu, Luying Wang, Yan Yuan
Research Collection Lee Kong Chian School Of Business
With the rapid advancement of digital finance in China, accessing wealth management services through digital platforms has become considerably convenient. However, the potential impact of digital platform investments on residents' consumption remains a relatively unexplored question. This study addresses this gap by leveraging a unique dataset obtained from one of China's largest fintech companies, encompassing individual-level data on consumption and investment. Our findings indicate that engaging in digital platform investments can indeed stimulate residents' consumption. Importantly, participation in digital platform investment has an inclusive effect, with a more pronounced marginal impact on consumption among low-income residents and in-dividuals residing in …
The Philippine Economy During The Japanese Occupation, Jasper Lem
The Philippine Economy During The Japanese Occupation, Jasper Lem
Asian Studies: Student Scholarship & Creative Works
The economy of the Philippines was derailed by the Japanese occupation during World War II. As an American colony before World War II, the Philippines had close amicable ties with the United States highlighted by promises of independence on July 4th, 1946. The Philippines also maintained a beneficial economic relationship with the States at this time through extensive foreign trade. However, because of the Japanese invasion, the Philippine economy was robbed of this profitable foreign trade and the promise of independence, severely crippling the island nation and her morale. The first policies implemented by Japan were designed to control the …
Does Abstract Thinking Facilitate Information Processing? Evidence From Financial Analysts, Frank Weikai Li, Rong Wang, Yang Yu, Gloria Yang Yu
Does Abstract Thinking Facilitate Information Processing? Evidence From Financial Analysts, Frank Weikai Li, Rong Wang, Yang Yu, Gloria Yang Yu
Research Collection Lee Kong Chian School Of Business
We study whether abstract thinking – an essential cognitive trait established by psychological and neuroscientific studies – facilitates analysts’ information processing. Exploiting analysts’ questions during earnings calls, we construct an Abstract Thinking Index (ATI) that measures their tendency to involve abstract words, logical reasoning, broader topics, and future outlooks. We find that abstract thinking improves analysts’ forecast accuracy and recommendation informativeness. Consistent with abstract thinking featuring identifying central characteristics and comprehending intangible things, ATI has stronger effects for firms with fundamentals co-moving more with peers and less tangible information. Additional analyses suggest that ATI captures analysts’ cognitive traits rather than …
What Drives The Value Of Financial Analysts’ Advice? The Role Of Earnings And Growth Forecasts, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach
What Drives The Value Of Financial Analysts’ Advice? The Role Of Earnings And Growth Forecasts, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach
Research Collection Lee Kong Chian School Of Business
We offer a parsimonious index at the individual analyst level to measure the extent to which an analyst relies on earnings and long-term growth forecasts in producing her advice. Using this index, we evaluate the contribution of earnings and growth forecasts to the investment value of analysts’ stock recommendations. We find that the fraction of analysts’ advice attributed to forecasts varies considerably across analysts and sectors. The investment value of recommendations is higher for analysts who rely less on their forecasts and more on other sources of information when forming investment advice. Investors recognize the superiority of recommendations from analysts …
Seeking Better Sharpe Ratio Via Bayesian Optimization, Peng Liu
Seeking Better Sharpe Ratio Via Bayesian Optimization, Peng Liu
Research Collection Lee Kong Chian School Of Business
Developing an excellent quantitative trading strategy to obtain a high Sharpe ratio requires optimizing several parameters at the same time. Example parameters include the window length of a moving average sequence, the choice of trading instruments, and the thresholds used to generate trading signals. Simultaneously optimizing all these parameters to seek a high Sharpe ratio is a daunting and time-consuming task, partly because of the unknown mechanism determining the Sharpe ratio. This article proposes using Bayesian optimization to systematically search for the optimal parameter configuration that leads to a high Sharpe ratio. The author shows that the proposed intelligent search …
The Livingston Survey 2023, S. Anderson, B. Bovino, M. Brown, Thomas Lam, Et Al
The Livingston Survey 2023, S. Anderson, B. Bovino, M. Brown, Thomas Lam, Et Al
Sim Kee Boon Institute for Financial Economics
The 15 participants in the June Livingston Survey predict higher output growth for the first half of 2023 than they predicted in the December 2022 survey. The forecasters, who are surveyed by the Federal Reserve Bank of Philadelphia twice a year, now project that the economy’s output (real GDP) will grow at an annual rate of 1.1 percent during the first half of 2023. They expect weaker conditions in the second half of 2023, when growth is expected to be at an annual rate of -0.7 percent. Both projections represent upward revisions from those of the December 2022 survey. Growth …
Female Ceos And Investment Efficiency In The Vietnamese Market, Jun Myung Song, Chune Young Chung
Female Ceos And Investment Efficiency In The Vietnamese Market, Jun Myung Song, Chune Young Chung
Sim Kee Boon Institute for Financial Economics
This paper proposes female CEOs’ overconfidence and risky behavior stem from gender stereotype threats. With two subsamples in Vietnam—firms in the Northern and Southern regions–we empirically show that female CEOs in the North, where there is less gender stereotype, tend to overinvest relative to male CEOs. However, in the South, they are indifferent. Additional analysis reinforces the main finding that female CEOs from the North tend to take more risks even when dealing with market volatility and uncertainty (e.g., the COVID-19 pandemic). Such risky behaviors of female CEOs in the North do not deteriorate firm value but instead, possibly improve …
Growing Up Under Mao And Deng: On The Ideological Determinants Of Corporate Policies, Hao Liang, Rong Wang, Haikun Zhu
Growing Up Under Mao And Deng: On The Ideological Determinants Of Corporate Policies, Hao Liang, Rong Wang, Haikun Zhu
Research Collection Lee Kong Chian School Of Business
Historically, economic activities have been organized around certain ideologies. We investigate the impact of politicians’ ideology on corporate policies by exploring a unique setting of ideological change—China from Mao to Deng around the 1978 economic reform—in a regression discontinuity framework. We find that the age discontinuity of politicians around 18 years old in 1978, who had already joined the Chinese Communist Party (CCP) or joined soon thereafter and later became municipal paramount leaders, has had a lasting effect on contemporary firm- and city-level policies. In particular, firms in cities with mayors that joined the CCP under the ideological regime of …
Disagreement In Market Index Options, Guilherme Salome, George Tauchen, Jia Li
Disagreement In Market Index Options, Guilherme Salome, George Tauchen, Jia Li
Research Collection School Of Economics
We generate new evidence on disagreement among traders in the S&P 500 options market from high-frequency intraday price and volume data. Inference on disagreement is based on a model where investors observe public information but agree to disagree on its interpretation; disagreement among investors is captured by the volume–volatility elasticity. For options, there are two natural variables related to disagreement: moneyness and tenor, which we relate to disagreement about the distribution of the market index at different quantiles and times. The estimated volume–volatility elasticity equals unity for options near the money and close to expiration, which is consistent with the …
Survey Of Professional Forecasters 2023, Singapore Management University
Survey Of Professional Forecasters 2023, Singapore Management University
Sim Kee Boon Institute for Financial Economics
Forecasters Maintain Their Expectations for Growth in 2023 The forecasters see the U.S. economy in 2023 expanding at the same pace as they predicted three months ago, according to 38 panelists surveyed by the Federal Reserve Bank of Philadelphia. The forecasters predict annual-average over annualaverage growth in real GDP of 1.3 percent in 2023, unrevised from their estimate of three months ago. The panelists are also maintaining their forecast for growth in the second quarter at an annual rate of 1.0 percent, unchanged compared with their previous projection. However, while their predictions for the second quarter and for 2023 remain …
Asset-Rich And Cash-Poor: Which Older Adults Value Reverse Mortgages?, Joelle H. Fong, Olivia S. Mitchell, Benedict S. K. Koh
Asset-Rich And Cash-Poor: Which Older Adults Value Reverse Mortgages?, Joelle H. Fong, Olivia S. Mitchell, Benedict S. K. Koh
Research Collection Lee Kong Chian School Of Business
Home equity represents a substantial share of retirement wealth for many older persons, particularly in Asia where national housing policies have encouraged home-ownership. This paper explored the potential for reverse mortgages to help 'asset-rich and cash-poor' older Singaporeans unlock their home equity while ageing in place. The empirical analysis was based on a nationally representative survey of home-owners age 50+ in the 2018 Singapore Life Panel (N = 6,258). Our analyses showed that the average older home-owner holds some 60 per cent of total net wealth in housing equity, suggestive of high demand potential for reverse mortgage products. Nevertheless, actual …