American Parisian options

In this article, we describe the various sorts of American Parisian options and propose valuation formulae. Although there is no closed-form valuation for these products in the non-perpetual case, we have been able to reformulate their price as a function of the exercise frontier. In the perpetual case, closed-form solutions or approximations are obtained by relying on excursion theory. We derive the Laplace transform of the first instant Brownian motion reaches a positive level or, without interruption, spends a given amount of time below zero. We perform a detailed comparison of perpetual standard, barrier and Parisian options.     

Target zones in theory and history: Credibility, efficiency, and policy autonomy

An experiment with an exchange-rate band in Austria-Hungary in the early 20th century provides a rare opportunity to discuss critical aspects of the theory of target zones. Providing a new derivation of the target zone model as a set of nested hypotheses, the inference is drawn that policy credibility and market efficiency were paramount in the success of the Austro-Hungarian experience.     

What Causes the Positive Price-Turnover Correlation in European Housing Markets?

This paper examines what determines the correlation between prices and turnover in European housing markets. Using a panel vector autoregressive model, we find that there is a particularly strong feedback mechanism between prices and turnover. Momentum effects are another important reason why prices and turnover are correlated. Common underlying factors, such as GDP and interest rates, also explain part of the price-turnover correlation. The results in this paper imply that, to understand price and turnover dynamics, it is important to model prices and turnover as two interdependent processes. There is a considerable bias in the coefficient estimates of standard house price models if this dependency is not explicitly taken into account.     

Dark tourism through the lens of attachment theory and domestic tourists

This study explores the factors that affect domestic tourist attachment to dark tourism destinations by developing a hybrid model using several methods, including structural equation modeling (SEM) and fuzzy analytical hierarchy process (FAHP), predicated on attachment theory. The study collected data from 60 tourism experts and 622 domestic tourists. The study found that tourist motivation, national identity, tourism impacts, and destination attachment are all crucial factors that explain domestic tourist behavior towards dark tourism. The results of the mediation analysis indicate that destination attachment mediates the relationship between tourist motivation, national identity, and negative tourism impact with tourist satisfaction. The FAHP results show that place identity has the highest influence while place dependence has the lowest influence in shaping domestic tourists' selection of dark tourist destinations. The study's findings provide valuable insights for tour operators and destination managers to meet domestic tourists' expectations of dark tourism, adding to the existing knowledge related to the factors that impact dark tourism.     

When does advice impact startup performance?

Why do some entrepreneurs thrive while others fail? We explore whether the advice entrepreneurs receive about managing their employees influences their startup's performance. We conducted a randomized field experiment in India with 100 high-growth technology firms whose founders received in-person advice from other entrepreneurs who varied in their managerial style. We find that entrepreneurs who received advice from peers with a formal approach to managing people—instituting regular meetings, setting goals consistently, and providing frequent feedback to employees—grew 28% larger and were 10 percentage points less likely to fail than those who got advice from peers with an informal approach to managing people, 2 years after our intervention. Entrepreneurs with MBAs or accelerator experience did not respond to this intervention, suggesting that formal training can limit the spread of peer advice.     

Doorsteps Toward Political and Economic Openness: Testing the North-Wallis-Weingast Transition Framework

In this paper, we test the theoretical framework developed by North, Wallis, and Weingast (2009), who posit that limited-access societies need to meet three doorstep conditions before they can transit into open-access societies: (1) establishment of rule of law among elites, (2) adoption of perpetually existing organizations, and (3) political control of the military. We identify indicators reflecting these doorsteps and econometrically test their relationships with specific political and economic variables. We broadly confirm the logic behind the doorsteps as necessary conditions in the transition to open-access societies. The doorsteps influence economic and political processes, as well as each other, with varying intensities.     

Portfolio optimization under model uncertainty and BSDE games

We consider robust optimal portfolio problems for markets modeled by (possibly non-Markovian) Itô–Lévy processes. Mathematically, the situation can be described as a stochastic differential game, where one of the players (the agent) is trying to find the portfolio that maximizes the utility of her terminal wealth, while the other player (“the market”) is controlling some of the unknown parameters of the market (e.g., the underlying probability measure, representing a model uncertainty problem) and is trying to minimize this maximal utility of the agent. This leads to a worst case scenario control problem for the agent. In the Markovian case, such problems can be studied using the Hamilton–Jacobi–Bellman–Isaacs (HJBI) equation, but these methods do not work in the non-Markovian case. We approach the problem by transforming it into a stochastic differential game for backward stochastic differential equations (a BSDE game). Using comparison theorems for BSDEs with jumps we arrive at criteria for the solution of such games in the form of a kind of non-Markovian analogue of the HJBI equation. The results are illustrated by examples.     

Toward a Model to Enhance Synergy of Out-of-Home Advertising Media Integration Strategies

ABSTRACT

For media planners to combine multiple media across platforms to maximize synergy is a critical challenge within integrated marketing communication. For this study, in-depth interviews were conducted with experienced media specialists in leading agencies to explore how they integrate different out-of-home advertising media platforms in IMC strategies. The feedback of these experts was then used to propose a model of strategies to enhance synergy within out-of-home advertising campaigns. This model is a first of its kind for planning out-of-home advertising media across platforms and bridges a gap in the existing literature on media synergy and out-of-home advertising media strategy.