1 / 11

Discussed by Shing-yang Hu National Taiwan University

Analyzing Japanese data to explore how information precision and bank relationships influence firms' choice of financing - public or private, equity, bond, or convertible. Considering factors such as analyst forecast errors, bank relationships, and market timing variables.

altonv
Download Presentation

Discussed by Shing-yang Hu National Taiwan University

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Effect of Information Production and Bank Relationships on Financing ChoiceMasaya IshikawaHidetomo Takahashi Discussed by Shing-yang Hu National Taiwan University

  2. Summary • Use Japanese data to examine the effect of information environment on financing choice • Public or private • Bond, convertible, or equity

  3. Comments - Hypothesis • Hypothesis 2: Information precision  Not to issue equity • Reason provided is Issuing equity  information production

  4. Comments – Nested model • Sequence of nested models • H1 is conditional on the type of securities (equity) • H3 and H4 are conditional on the type of securities (bond) • H2 is conditional on the type of market • Consider to talk H3, H4, and H1 first, then H2 • Tables 4 and 5 results are related

  5. Comments – Japanese data • Previous studies that use Japanese data to examine this issue • Mention of Japanese data only in page 10

  6. Comments –Variables definition • Information producing activities • Variables used • Forecast errors by analysts or managers • Bank relationship • Variables can be considered • Firm size • Number of analysts

  7. Comments –Variables definition • Matching the data definition with the hypothesis • Hypothesis 1 • The likelihood of issuing public securities vs. private securities increases with the precision of the analysts’ and/or firms’ earnings forecast, especially conditioned on stock issuing • Data • Decilized Analysts Forecasts: Inverse of the precision of forecast

  8. Comments –Variables definition • Forecast • From analysts or managers • Is it the most recent forecast that is used? • How close is it from the earnings reporting date?

  9. Comments –Variables definition • Bank relationship • LOAN1: Dummy variable which equals 1 if the main bank has served as a top lender for the recent 10 years • LOAN2: the logarithm of the total debt minus the total bank loans divided by the total debt • Consider other aspect: percentage of bank loan obtained from main bank

  10. Comments –Variables definition • Market timing variables • Level • Tobin’s Q • Innovation • 250-day stock return • Return of the government bond • Spread in returns between corporate and government bond • Other variables to consider • Yield on government bond • Yield spread between corporate and government bond

  11. Comments –Variables definition • Year dummies to control for other time effects

More Related