생체의 모델링과 Simulation

The construction industry is a major economic sector, but it is plagued with inefficiencies and low productivity. Robotics and automated systems have the potential to address these shortcomings; however, the level of adoption in the construction industry is very low. This paper presents an investigation into the industry-specific factors that limit the adoption in the construction industry. A mixed research method was employed combining literature review, qualitative and quantitative data collection and analysis. Three focus groups with 28 experts and an online questionnaire were conducted. Principal component and correlation analyses were conducted to group the identified factors and find hidden correlations. The main identified challenges were grouped into four categories and ranked in order of importance: contractor-side economic factors, client-side economic factors, technical and work-culture factors, and weak business case factors. No strong correlation was found among factors. This study will help stakeholders to understand the main industry-specific factors limiting the adoption of robotics and automated systems in the construction industry. The presented findings will support stakeholders to devise mitigation strategies.

Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

Stocks as Lotteries: The Implications of Probability Weighting for Security Prices

Short Interest, Institutional Ownership, and Stock Returns

This paper studies SMEs’ participation in public procurement in light of perceived barriers and expected benefits of accessing the public marketplace. It presents a comparative analysis of SMEs’ pa...

A Comparative Analysis of SME Friendly Public Procurement: Results from Canada, Hungary and Italy

This study documents a positive relationship between the option-implied risk-neutral skewness (RNS) of individual stock returns’ distribution and future realized stock returns during the period 1996–2012. A strategy that goes long the quintile portfolio with the highest RNS stocks and short the quintile portfolio with the lowest RNS stocks yields a Fama–French–Carhart alpha of 55 basis points per month (t-statistic of 2.47). The significant underperformance of the portfolio with the most negative RNS stocks is driven by those stocks that are also perceived as relatively overpriced according to a series of overvaluation proxies and are too costly or too risky to sell short, thereby hindering the price correction mechanism. Our findings indicate that a highly negative RNS value, when reflecting high hedging demand for options by investors who perceive the underlying stock as relatively overpriced but hard to sell short, is a robust signal of significant future stock underperformance. This paper was accepted...

What Does Risk-Neutral Skewness Tell Us About Future Stock Returns?

This study documents a positive relationship between the option-implied risk-neutral skewness (RNS) of individual stock returns' distribution and future realized stock returns during the period 1996-2012. A strategy that is long the quintile portfolio with the highest RNS stocks and short the quintile portfolio with the lowest RNS stocks yields an average Fama-French-Carhart alpha of 55 bps per month (t-stat: 2.47). The significant underperformance of the portfolio with the most negative RNS stocks is driven by those stocks that are also perceived as relatively overpriced according to a series of overvaluation proxies and are too costly or too risky to sell short, thereby hindering the price correction mechanism. Our findings indicate that a highly negative RNS value, when reflecting high hedging demand for options by investors who perceive the underlying stock as relatively overpriced but hard to sell short, is a robust signal of significant future stock underperformance.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID2863158_code692170.pdf?abstractid=2417021&mirid=1&type=2

Choosing the best bid is a central step in any tendering process. If the award criterion is the economically most advantageous tender (EMAT), this involves scoring bids on price and quality and ranking them. Scores are calculated using a bid evaluation formula that takes as inputs price and quality, and their respective weights. The choice of formula critically affects which bid wins. We study 38 such formulas and discuss several of their aspects, such as how much the outcome of a tender depends on which formula is being used, relative versus absolute scoring, ranking paradox, iso-utility curves, protection against a winner with an extremely high price, and how a formula reflects the weights of price and quality. Based on these analyses, we summarize the (dis)advantages and risks of certain formulas and provide associated warnings when applying certain formulas in practice.

A comparative study of formulas for choosing the economically most advantageous tender

A Comparative Study of Formulas for Choosing the Economically Most Advantageous Tender

This thesis makes a number of contributions in the derivative pricing and risk management literature and to the growing literature that exploits information embedded in option prices. First, it develops an effective numerical scheme for importance sampling scheme of Fouque and Tullie (2002) based on a 2-dimensional lookup table of stock price and time to maturity that dramatically improves the speed of this importance sampling scheme. Second, the thesis presents an application of this importance sampling scheme in a Multi-Level Monte Carlo simulation. Such combination yields greater variance reduction compared to Multi-Level Monte Carlo or importance sampling alone. Third, it demonstrates how the Greeks can be computed using the Likelihood Ratio Method based on characteristic function, and how combining it with importance sampling leads to a significant variance reduction for the Greeks. Finally, it documents the positive relationship between the risk-neutral skewness (RNS) and future realized stock returns that is driven by the underperformance of highly negative RNS portfolio. The results provide strong evidence that the underperformance of stocks with the lowest RNS is driven by those stocks that are associated with a higher hedging demand, relative overvaluation and are also too costly or too risky to sell short. Moreover, by decomposing RNS into its systematic and idiosyncratic components, this thesis shows that the latter drives the positive relationship with future realized stock returns.

Przemyslaw S. Stilger

Papers

What Does Risk-Neutral Skewness Tell Us About Future Stock Returns?

What Does Risk-Neutral Skewness Tell Us About Future Stock Returns?

A comparative study of formulas for choosing the economically most advantageous tender

A Comparative Study of Formulas for Choosing the Economically Most Advantageous Tender

Numerical and Empirical Studies of Option Pricing