TEACHING RESOURCE Using MONOPOLY TM and Teams-GamesTournaments in accounting education: a cooperative learning teaching resource

A three-week financial accounting simulation was conducted using university accounting majors (n=36) in one section of a junior-level financial reporting issues course. The curriculum involved using the board game Monopoly as a teaching resource in cooperative learning teams. Findings indicate students' attitudes toward financial accounting and learning, mutual concern for fellow students and perceived achievement were very positive upon completion of this cooperative learning exercise. Additionally, gender and student ability were found to impact the level of some measures of student attitudes and perceived achievement.     

Air itinerary choice in a low-frequency market: A decision rule approach

This paper focuses on low frequency airline service patronage using the data from a survey conducted at Imam Khomeini International Airport in Tehran, Iran. It uses Dominance-based Rough Set Approach (DRSA) for modeling passengers’ choices. We compare the method with discrete choice models using a prediction potential measure. Unlike discrete choice methods, it can use qualitative and categorized data without having to transform them into dummy variables. It is found that the prediction accuracy of the proposed technique is better than that of the discrete choice model for the case under consideration.     

新产品R＆D项目综合风险评价的SPA方法研究

新产品的R＆D是企业可持续发展的根源，但对R＆D项目的投资却具有极高的风险。针对新产品R＆D项目的特征，建立了包含概率和项目目标三因素的风险评价指标体系；依据确立的指标体系，给出了基于集对分析的综合风险评价模型。最后，通过一个实例说明了集对分析在新产品R＆D项目综合风险评价中的应用。     

高耸外挂广告塔倒装法安装施工技术

随着我国经济的快速发展,广告已铺天盖地无处不在.而大型广告牌往往处在公共场所、繁华闹市地带,并且多数是建在已建的建筑物上,施工难度较大,影响因素较多.本文根据北京首都机场1#航站楼60米高的指挥信号塔广告牌的施工,对高耸塔体外挂广告塔施工特点作一些探讨,具有一定的参考价值.     

基于多属性决策的城市水资源分配方案的选择

如何在各成员间进行使用权的合理分配是城市水资源管理亟需解决的关键问题.利用多属性决策方法,对城市水资源分配方案的选择进行了研究.研究过程中,提出了应将城市居民,三次产业的生产者,地方政府和相关领域专家纳入水资源分配的决策者集;同时,应在兼顾效率、环境和公平的基础上形成备选方案的属性集;并且,通过实例分析,说明了最优分配...     

奇异方差矩阵的Markowitz''''s证券组合投资决策模型的最优化解法

基于Markowitz证券组合投资模型：min1/2W^tVW，s．t．W^te=1，W^tE（X）=μ0，分析方差矩阵V为一般对称矩阵时的情形，本文推广了证券组合投资模型的一个定理，并分类讨论了一般对称方差矩阵对应的证券组合投资模型的最优解，同时给出了求解最优证券组合的方法。     

集合类型及其在XBASE中的实现

本文从程序设计语言角度讨论了集合的概念,并给出了在XBASE中实现集合类型的方法,提高了XBASE的表达能力。     

Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility models

We present a neural network-based calibration method that performs the calibration task within a few milliseconds for the full implied volatility surface. The framework is consistently applicable throughout a range of volatility models—including second-generation stochastic volatility models and the rough volatility family—and a range of derivative contracts. Neural networks in this work are used in an off-line approximation of complex pricing functions, which are difficult to represent or time-consuming to evaluate by other means. The form in which information from available data is extracted and used influences network performance: The grid-based algorithm used for calibration is inspired by representing the implied volatility and option prices as a collection of pixels. We highlight how this perspective opens new horizons for quantitative modelling. The calibration bottleneck posed by a slow pricing of derivative contracts is lifted, and stochastic volatility models (classical and rough) can be handled in great generality as the framework also allows taking the forward variance curve as an input. We demonstrate the calibration performance both on simulated and historical data, on different derivative contracts and on a number of example models of increasing complexity, and also showcase some of the potentials of this approach towards model recognition. The algorithm and examples are provided in the Github repository GitHub: NN-StochVol-Calibrations.     

A comparison principle between rough and non-rough Heston models—with applications to the volatility surface

We present a number of related comparison results, which allow one to compare moment explosion times, moment generating functions and critical moments between rough and non-rough Heston models of stochastic volatility. All results are based on a comparison principle for certain non-linear Volterra integral equations. Our upper bound for the moment explosion time is different from the bound introduced by Gerhold, Gerstenecker and Pinter [Moment explosions in the rough Heston model. Decisions in Economics and Finance, 2019, 42, 575–608] and tighter for typical parameter values. The results can be directly transferred to a comparison principle for the asymptotic slope of implied variance between rough and non-rough Heston models. This principle shows that the ratio of implied variance slopes in the rough versus non-rough Heston model increases at least with power-law behavior for small maturities.     

Understanding the drivers of Urban Development Agreements with the rough set approach and robust decision rules

The rise of neoliberalism in the context of urban development has encouraged cooperation between public and private parties. This cooperation is structured by contracts, generally called Urban Development Agreements (UDAs). Being part of the urban regeneration strategies, UDAs aim at achieving durable improvements of abandoned areas, namely brownfields, according to the sustainability principles. Thus, within the negotiation between private developers and public administrations, multiple and conflicting instances have to be faced case by case. Despite the uniqueness of each UDA, it is possible to define a set of pertinent characteristics that play a crucial role in determining the fairness and appropriateness of the public-private partnership. Given this context, we propose a novel variant of the Dominance Rough Set Approach (DRSA) for i) exploring the relationship between condition attributes or criteria and effects of urban development processes and for ii) supporting negotiations according to the detection of a set of relevant features. Specifically, DRSA is applied on a sample of UDAs recently concluded in the Lombardy Region (Northern Italy), and then tested on a sample of other UDAs under the negotiation phase. The analysis involves five dimensions represented by attributes and criteria related to urban, institutional, negotiation, development and economic contexts. The inferred decision rules provide useful knowledge for supporting complex decision processes such as the allocation of costs and benefits within UDAs.