Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Martin C. Seay is active.

Publication


Featured researches published by Martin C. Seay.


Journal of Housing for The Elderly | 2013

Reverse Mortgage Fraud Against Seniors: Recognition and Education of a Burgeoning Problem

Andrew T. Carswell; Martin C. Seay; Michal Polanowski

With the senescent population and the popularity of aging in place, many seniors are attracted to reverse mortgages to plan for retirement and to maintain their existing housing situation. Although theoretically reverse mortgages represent a viable investment product for those considering retirement, several pitfalls are possible for seniors, who can be unsuspecting victims of fraud. This article provides information detailing the etymology of fraud activities within this market through a storyboard that depicts the various stages of the fraud process. It is hoped that such a tool can enhance the education of consumers on this mortgage product.


Applied Economics Letters | 2016

After the great recession : financial sophistication and housing leverage

Kyoung Tae Kim; Martin C. Seay; Hyrum L. Smith

ABSTRACT US households face various choices in saving for retirement, with one of the most common decisions related to maintaining or paying off a mortgage. Using the 2010 and 2013 Survey of Consumer Finances, this study investigates the relationship between financial sophistication and mortgage decisions among middle-age households. A Heckman two-stage selection model is employed to investigate two separate decisions: mortgage holding and loan-to-value (LTV) ratios among mortgage holders. Results indicate that financial sophistication is positively associated with carrying a mortgage and higher LTV ratios. These results imply that financially sophisticated households may be using leverage to increase asset returns.


Archive | 2015

Collaborative Relational Model

Martin C. Seay; Joseph W. Goetz; Jerry Gale

Based on an ecosystemic perspective, the Collaborative Relational Model of Financial Therapy addresses clients’ needs from a holistic perspective to facilitate improvements in overall well-being. The collaborative relational model of financial therapy is based on the concept of utilizing complementary professionals, each with expertise in their individual areas, to provide in-depth financial therapy to clients. This chapter will introduce the model, provide the foundation of its theoretical framework, and offer illustrations of its use in practice. Lastly, a discussion of its benefits, both for the counselors and clients, is presented.


Social Science Research Network | 2017

Financial Literacy and Financial Decisions of Millennials in the United States

Kyoung Tae Kim; Somer G. Anderson; Martin C. Seay

This study investigates the role of financial knowledge in various short-term and long-term financial behaviors among Millennials in the United States. Results from the 2015 National Financial Capability Study (NFCS) indicate that Millennials have lower levels of objective financial knowledge and similar levels of perceived financial knowledge as compared to all households. Consistent multivariate results find financial knowledge to be positively associated with performing positive short-term and long-term financial behaviors. Results are found to be robust across different measurements of financial knowledge and behavior, and the issue of the potential for reverse causality is specifically addressed. This study provides a comprehensive financial profile of Millennials with important insight for policymakers as well as financial practitioners.


Journal of Financial Crime | 2014

Exploring HECM counselors’ fraud awareness and training

Martin C. Seay; Andrew T. Carswell; Melissa J. Wilmarth; Lloyd G. Zimmerman

Purpose – The purpose of this research was to explore the growth of Home Equity Conversion Mortgage (HECM) fraud and the role of housing counselors in its identification and prevention. HECMs are the Federal Housing Administration endorsed version of a reverse mortgage and represent the majority of reverse mortgages on the market. Design/methodology/approach – To investigate HECM counselor’s training, and their ability to detect fraudulent activity, a survey was constructed and distributed nationwide using HUD’s publicly available roster of qualified agencies and counselors. The survey consisted of three main sections agency and respondent information including HECM certification process, typical interactions with clients, and mortgage fraud and HECM fraud. Findings – Responses indicate that HECM counselors have limited awareness of and training in identifying fraudulent activities. Originality/value – The case is made that additional training is needed to raise awareness among counselors so that they might better serve their clients. Given the sizable population that may legitimately need HECMs, it is important to improve awareness and provide training to detect fraudulent schemes and prevent this type of deception from occurring.


Journal of Consumer Affairs | 2015

Bounded Rationality and Use of Alternative Financial Services

Cliff A. Robb; Patryk Babiarz; Ann Woodyard; Martin C. Seay


Journal of Consumer Affairs | 2014

Complex Samples and Regression-Based Inference: Considerations for Consumer Researchers

Robert B. Nielsen; Martin C. Seay


Journal of Financial Counseling and Planning | 2014

Positive Psychological Attributes and Retirement Satisfaction

Sarah D. Asebedo; Martin C. Seay


Financial Planning Review | 2013

The Effect of Objective and Subjective Financial Knowledge on High-Cost Borrowing Behavior

Martin C. Seay; Cliff A. Robb


Family and Consumer Sciences Research Journal | 2013

Rental Real Estate Ownership Prior to the Great Recession

Martin C. Seay; Andrew T. Carswell; Robert B. Nielsen; Lance Palmer

Collaboration


Dive into the Martin C. Seay's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge