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Miles B. Gietzmann

Publications and source records attributed to Miles B. Gietzmann.

3 recordsLinked to original sources

Damages and Materiality: Effects on voluntary disclosure

How should a court resolve a shareholder--management dispute following a materially significant price decline when it is suspected that management, at an earlier point in time, failed to update the market by disclosing a privately observed material event? A foundational result in this literature (Dye, 2017) shows that if a court publicly commits to increasing damages awards in an effort to deter nondisclosure, the policy may have a perverse effect: management may rationally choose to disclose even less. Schantl and Wagenhofer (2024) attribute this outcome to the pure insurance effect, whereby shareholders benefit from higher damages payments. They show that this result may be mitigated if management also face a fixed, exogenous reputational cost of nondisclosure. However, these reputational costs are independent of the model's equilibrium; furthermore, they assume that the court eventually observes the true state of the world with certainty (delayed omniscience by the court), and do not account for standards of materiality, which differ across legal systems. In contrast, we develop a dynamic continuous-time model in which both damages and materiality standards are endogenous. We show that, as damages awards increase, a previously unrecognized dynamic effect emerges: management rationally switch to a candid (full) disclosure strategy. Moreover, raising the materiality threshold induces this switch earlier, thereby increasing the extent of voluntary disclosure. Our analysis therefore demonstrates that regulators should recognize the complementary effects of damages and materiality standards. We further characterize what we term the legal consistency zone, in which higher damages awards, coupled with an appropriately chosen materiality standard, endogenously increase voluntary disclosure.

q-fin.GN↗

The Kind of Silence: Managing a Reputation for Voluntary Disclosure in Financial Markets

In a continuous-time setting we investigate how the management of a firm controls a dynamic choice between two generic voluntary disclosure decision rules: one with full and transparent disclosure termed $\it{candid}$, the other, termed $\it{sparing}$, under which values only above a dynamic threshold are disclosed. We show how management are rewarded with a reputational premium for candour. The candid strategy is costly because the sparing alternative shields the firm from potential downgrades following low value disclosures. We show how parameters of the model such as news intensity, pay-for-performance and time-to-mandatory-disclosure determine the optimal choice of candid versus sparing strategy and the optimal time for management to switch between the two. The private news updates received by management are modelled with a Poisson process, occurring between the fixed mandatory disclosure dates, such as fiscal years or quarters, with the news received generated by a background Black-Scholes model of economic activity and of its partial observation. The model presented develops a number of insights, based on a very simple ordinary differential equation (ODE) characterizing equilibrium in a piecewise-deterministic model, derivable from the background Black-Scholes model. It is shown that in equilibrium when news intensity is low a firm may employ a candid disclosure strategy throughout, but will otherwise switch (alternate) between periods of being candid and periods of being sparing with the truth (or the other way about); that is, we are able to characterize when in equilibrium a candid firm will switch to adopting a sparing strategy. The model illustrates how parameters such as time to mandatory disclosure, news intensity and pay-for-performance may drive such switching behaviour. $\it{With\,constant\,pay\,for\,performance\,parameters,\,at\,most\,one\, switching\,occurs.}$

math.OC↗

The Sound of Silence: equilibrium filtering and optimal censoring in financial markets

Following the approach of standard filtering theory, we analyse investor-valuation of firms, when these are modelled as geometric-Brownian state processes that are privately and partially observed, at random (Poisson) times, by agents. Tasked with disclosing forecast values, agents are able purposefully to withhold their observations; explicit filtering formulas are derived for downgrading the valuations in the absence of disclosures. The analysis is conducted for both a solitary firm and m co-dependent firms.

q-fin.MF↗