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You searched for +publisher:"Penn State University" +contributor:("Peter G Iliev, Outside Member"). Showing records 1 – 2 of 2 total matches.

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Penn State University

1. Alhusaini, Badryah Y. Peer Information and Managerial Myopia.

Degree: 2019, Penn State University

This paper examines the effect of peer information on managerial myopia. If greater peer information is beneficial, investors will face less uncertainty about the firm’s own prospects and thus fixate less on current earnings. As a result, managers can face less pressure to focus on boosting short-term performance to signal high firm type. Using the percentage of public firms in the industry (i.e. “public firm presence”) as a measure of peer information, I find that managers in industries with greater public firm presence are less myopic. This effect of peer information reducing myopia is less pronounced in instances in which the manager is more pressured to meet short-term benchmarks, as measured by analyst coverage and transient ownership. Finally, I find that, for firms with greater public firm presence, investors face less information asymmetry and react less negatively when those firms miss an earnings benchmark, consistent with greater levels of peer information reducing myopia by facilitating investors to assess the firm more effectively. Advisors/Committee Members: Karl Muller, Dissertation Advisor/Co-Advisor, Karl A Muller, III, Committee Chair/Co-Chair, Dan Givoly, Committee Member, Hal Derric White, Committee Member, Peter G Iliev, Outside Member.

Subjects/Keywords: Managerial Myopia; Peer Information

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alhusaini, B. Y. (2019). Peer Information and Managerial Myopia. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17037bya101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alhusaini, Badryah Y. “Peer Information and Managerial Myopia.” 2019. Thesis, Penn State University. Accessed May 09, 2021. https://submit-etda.libraries.psu.edu/catalog/17037bya101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alhusaini, Badryah Y. “Peer Information and Managerial Myopia.” 2019. Web. 09 May 2021.

Vancouver:

Alhusaini BY. Peer Information and Managerial Myopia. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 May 09]. Available from: https://submit-etda.libraries.psu.edu/catalog/17037bya101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alhusaini BY. Peer Information and Managerial Myopia. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17037bya101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Le, Thao Thi. Essays on the Role of Soft Data and Spillover Effects in Real Estate.

Degree: 2017, Penn State University

This dissertation comprises three essays on the role of soft data and spillover effects in real estate. In the first essay, tracking a sample of modified loans underlying private-label mortgage-backed securities, I compare the modification effectiveness of servicers who originated mortgages versus those who simply serviced them. The probability of re-default among loans modified by the former is over 6.9 percentage point lower than the latter. Further tests show that the differences in modification success likely come from the soft information acquired during the origination process. These findings suggest that the loss of soft information in mortgage securitization can impose a substantial cost on mortgage servicing, which raises important policy implications for government regulations in this market. The second essay examines the effect of peer firm sentiment on firm investment decisions using data from public homebuilders in the U.S. over 2003Q1-2016Q3. Peer sentiment is measured by the NAHB/Wells Fargo Housing Market Index, derived from a monthly survey of homebuilders’ perceptions about the conditions of the single-family housing market. I find that a one-standard-deviation increase in the peer sentiment index induces homebuilders to increase their land inventory by 8.4%-12.6%. In addition, big builders are just as prone to peer sentiment as small firms. Consistent with the catering theory, homebuilders held by more short term investors are more likely to follow their peers than those held mainly by institutional shareholders. Interestingly, firms that overbuild compared to their peers have lower stock returns in the next quarter while underbuilding is rewarded with higher stock prices, but this effect decreases as the magnitude of underbuilding increases. Finally, the third essay investigates the effect of separating real estate from the Financials sector in the Global Industry Classification Standard. Since Sep 1, 2016, real estate became an independent sector instead of being an industry group under the Financials sector together with banks and insurance. Using Real Estate Investment Trusts to represent the new GICS Real Estate sector, I find that their correlation with the Financials sector fell from 0.568-0.775 to 0.338-0.581 after their departure. The reduction in their connection occurred first at announcement and again at implementation. In addition, REIT returns became as much as 60% less volatile than before. However, becoming a separate sector did not affect trading activities in the REIT market, at least in the short post-implementation period covered in this paper. Advisors/Committee Members: Brent William Ambrose, Dissertation Advisor/Co-Advisor, Brent William Ambrose, Committee Chair/Co-Chair, Austin Jay Jaffe, Committee Member, Liang Peng, Committee Member, Peter G Iliev, Outside Member, Jiro Yoshida, Committee Member, Keith John Crocker, Committee Chair/Co-Chair.

Subjects/Keywords: Mortgage-backed securities; Loan modification; soft information; MBS servicer; peer effect; herding; sentiment; homebuilders; spillover; REIT correlation; Financials sector

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Le, T. T. (2017). Essays on the Role of Soft Data and Spillover Effects in Real Estate. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14119ttl129

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Le, Thao Thi. “Essays on the Role of Soft Data and Spillover Effects in Real Estate.” 2017. Thesis, Penn State University. Accessed May 09, 2021. https://submit-etda.libraries.psu.edu/catalog/14119ttl129.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Le, Thao Thi. “Essays on the Role of Soft Data and Spillover Effects in Real Estate.” 2017. Web. 09 May 2021.

Vancouver:

Le TT. Essays on the Role of Soft Data and Spillover Effects in Real Estate. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 May 09]. Available from: https://submit-etda.libraries.psu.edu/catalog/14119ttl129.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Le TT. Essays on the Role of Soft Data and Spillover Effects in Real Estate. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14119ttl129

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.