Sharing versus collaborative economy: how to align ICT developments and the SDGs in tourism?

Great hopes have been placed in the sharing economy to provide a new business model based on peer-to-peer (P2P) exchanges of underutilized assets. As a model, the sharing economy has been expected to make significant contributions to sustainability, providing new opportunities for entrepreneurship, more sustainable use of resources, and consumer co-operation in tight economic networks. However, in recent years, digital platforms have turned into the most important actors in the global sharing economy, turning global corporations, such as AirBnB, Booking, or TripAdvisor into intermediaries controlling and profiting from most transactions. Focused on accommodation, this paper conceptualizes the sharing economy in comparison to the wider collaborative economy, and discusses its social, economic, environmental, and political impacts in comparison to the sustainable development goals. It concludes that the sharing economy has great potential to make very significant contributions to sustainability, though the model is increasingly being replaced by the collaborative economy, which performs as an extension and acceleration of neoliberal economic practices.     

Forecasting UK consumer price inflation using inflation forecasts

The inflation rate is a key economic indicator for which forecasters are constantly seeking to improve the accuracy of predictions, so as to enable better macroeconomic decision making. Presented in this paper is a novel approach which seeks to exploit auxiliary information contained within inflation forecasts for developing a new and improved forecast for inflation by modeling with Multivariate Singular Spectrum Analysis (MSSA). Unlike other forecast combination techniques, the key feature of the proposed approach is its use of forecasts, i.e. data into the future, within the modeling process and extracting auxiliary information for generating a new and improved forecast. We consider real data on consumer price inflation in UK, obtained via the Office for National Statistics. A variety of parametric and nonparametric models are then used to generate univariate forecasts of inflation. Thereafter, the best univariate forecast is considered as auxiliary information within the MSSA model alongside historical data for UK consumer price inflation, and a new multivariate forecast is generated. We find compelling evidence which shows the benefits of the proposed approach at generating more accurate medium to long term inflation forecasts for UK in relation to the competing models. Finally, through the discussion, we also consider Google Trends forecasts for inflation within the proposed framework.     

Sustainability Northwest: An Integrative Case of a Not‐for‐Profit Organization

Sustainability Northwest (SNW) is a fictional not‐for‐profit organization (NPO) that seeks to develop thought leaders for a sustainable future. This instructional case allows professors to assign students with up to six different roles, including SNW's chair of the board, executive director, volunteer treasurer, and the external auditor. Unique learning objectives include (i) the application of the CPA Canada Handbook, Accounting—Part III to prepare an NPO's financial statements using fund accounting, (ii) the development of recommendations to improve an NPO's board of directors, (iii) the analysis of system flow documents to identify control weaknesses, and (iv) the preparation of an audit planning memo. Instructors can use this case in several milieus. First, professors can foster a student's ability to integrate technical knowledge by (i) assigning students all six roles in a capstone course to promote integration within an individual course or (ii) assigning multiple roles across multiple courses to promote integration across a program of studies. Second, instructors can focus on a particular technical skill by assigning specific roles. This case is ideal for senior‐level undergraduate students or graduate students.     

Predicting the equity market with option-implied variables

We comprehensively analyze the predictive power of several option-implied variables for monthly S&P 500 excess returns and realized variance. The correlation risk premium (CRP) and the variance risk premium (VRP) emerge as strong predictors of both excess returns and realized variance. This is true both in- and out-of-sample. Our results also reveal that statistical evidence of predictability does not necessarily lead to economic gains. However, a timing strategy based on the CRP leads to utility gains of more than 5.03% per annum. Forecast combinations provide stable forecasts for both excess returns and realized variance, and add economic value.     

Time,Arbitrage, and the Law of One Price: The Case for a Paradigm Shift

Consider a Competitive, Efficient, and Frictionless Economy (CEFE) where resources are scarce at any date, and hence money as a valid claim against scarce resources is also scarce. In this economy, there is always price competition, which can at any date generate an unlimited number of arbitrage opportunities. For example, at any date, opportunities can exist to buy and sell each one of the contracts for delivery of the same good or asset at multiple prices currently as well as on an infinite number of future dates. I prove all arbitrage transactions, including “spot” transactions, tie up arbitrageurs’ capital representing money, good or asset such that this capital cannot be used for any other purpose for a non-zero quantity of time. This makes it impossible to exploit all arbitrage opportunities with the scarce capital available at any date and leads to an infinite number of unexploited opportunities and a non-negligible opportunity cost of the capital tied-up in arbitrage transactions, represented by each arbitrageur’s best missed arbitrage opportunity, if no better opportunity exits, hence the breakdown of the law of one price in its standard sense. This helps construct a new paradigm of CEFE which resolves long-standing theoretical, empirical, and experimental puzzles.     

跨境电商对华商网络贸易的效应分析

在就跨境电商对华商网络贸易所具有的替代效应与互补效应进行理论分析的基础上，利用古诺模型分析市场均衡的结果及贸易效应，采用面板数据实证检验跨境电商对华商网络贸易的影响，结果表明跨境电商对华商网络贸易的互补效应大于替代效应：一方面，由于华商网络对出口贸易的影响尤为显著，而跨境电商平台又以出口贸易为主，从而跨境电商对华商网络出口贸易的影响较大；另一方面，跨境电商平台偏向于差异化产品贸易，因而跨境电商对差异化产品的华商网络贸易有着较大影响。也就是说，跨境电商对华商网络贸易的互补效应在出口贸易与差异化产品贸易上表现得尤为显著。     

Accounting practice,fiscal decentralization and corruption

In prior studies, accounting and decentralization corruption solutions have so far been analysed in isolation. In this article, we connect these two strands of literature on corruption. Understanding this connection is important because weak financial accounting and reporting systems can inhibit monitoring incentives and thus reduce decentralization benefits in countering corruption. We argue that the effectiveness of decentralization as an anti-corruption barrier is complemented by the quality of the accounting practice in a country. Using multiple sources of data, we find that decentralization has a positive and increasing effect on reducing corruption among countries with a high-quality accounting practice. In contrast, decentralization has a negative and decreasing effect on reducing corruption among countries with weak-quality accounting practices. These findings are robust to alternative measures of accounting, decentralization and corruption and to endogeneity tests. Our findings demonstrate the crucial information role of accounting in enhancing decentralization monitoring mechanisms and in thereby reducing corruption.     

审计师地理距离对客户公司股价信息含量的影响

从地理经济学视角分析审计师的地理区位特征对上市公司股价信息含量的可能影响，利用2004—2013年中国A股上市公司的数据，实证检验了审计师与客户间的地理距离对客户公司股价信息含量的经验影响关系，并进一步考察了证券分析师与审计监督两种中介组织间的交互效应。研究发现：（1）审计师与客户公司间的地理距离越小，客户公司的股价信息含量越低，因为在中国当前经济社会背景下，地理邻近对审计师独立性的消极影响要强于其对审计师专业胜任能力的积极影响，这导致审计师审计质量降低，影响客户公司股价信息含量；（2）证券分析师对客户公司的关注程度越高，审计师的地理邻近性对客户公司股价信息含量的负面影响越弱，表明证券分析师与外部审计之间主要呈现一种相互替代的关系，证券分析师可以作为一种有效的补充监督机制。     

Individual Investors' Attention to Accounting Information: Evidence from Online Financial Communities*

Online financial communities provide a unique opportunity to directly examine individual investors' attention to accounting information on a large scale and in great detail. I analyze accounting-related content in large samples of Yahoo! message board posts and StockTwits and find investors pay attention to a range of accounting information, fixating particularly on earnings, cash, and revenues. Consistent with the expectation that investors react to relevant information events, I find accounting-related discussion elevated around the filings of earnings releases and 8-K reports, but the reaction to periodic reports is confined to small firms. I also find investors expand their acquisition of accounting information and processing efforts in poor information environments. Greater attention to accounting information at earnings releases does not appear to be meaningfully associated with better information processing.