重叠滤波多音系统的频偏性能分析及优化

重叠滤波多音(O-FMT)是针对滤波多音(FMT)系统频谱利用率低的缺点而根据超奈奎斯特(FTN)概念引入子载波重叠得到的方案。鉴于O-FMT系统在频偏环境下的性能缺陷，理论分析了频偏对系统信号各部分的影响，比较了O-FMT与正交频分复用（OFDM）系统的抗频偏性能。针对频偏性能优化问题，提出了基于最佳线性无偏估计（BLUE）的改进盲估计算法，设计了基于频域滤波器系数的内嵌结构进行频偏补偿。仿真实验表明，O-FMT相比OFDM具有更好的抗频偏能力，改进的盲估计算法估计值精度更高，抗干扰、抗衰落能力更强，设计的频偏补偿结构可以使系统获得更好的性能。     

Consumers' perception of and attitudes towards organic food in Galicia (Northern Spain)

Although the organic sector is still relatively small, the demand for organic food is increasing throughout the world. The characterization of consumers' perception of and attitudes towards organic food is important to enable the development of marketing policies aimed at attracting conventional consumers to the sector. Consumers' behaviour studies must be conducted specifically for different regions and countries as perceptions and attitudes vary across the world. In the present study, a questionnaire was designed for administration to consumers in Galicia (Northern Spain). The questionnaire was administered to 830 consumers in 200 establishments to obtain data about the consumers' perception of and attitudes towards organic food. The survey results showed that one‐third of responders consume organic food and that the typical profile of a consumer of organic food is a middle‐aged, medium‐high class, university‐educated female living in a large village, who shops in supermarkets and preferably consume vegetables, fruits and eggs. Most people who declared that they consume organic products confuse these with home and locally produced food, indicating the potential for growth of the organic sector by providing such consumers with appropriate information. Most consumers (including conventional consumers) have a good opinion of organic food and consider that it is better for health, is of better quality than conventional food and avoid pesticide residues. However, price continues to be a barrier to the consumption of organic produce. Most respondents stated that they would consume more organic food if the price was only between 10% and 30% higher than the conventional equivalent. Finally, organic consumers in Galicia showed positive attitudes towards using local breeds in organic agriculture, both for producing food and for ecotourism and educational activities. Such activities could contribute to conserving breed biodiversity and adding value to organic farming.     

Understanding the drivers of organic foods purchasing of millennials: Evidence from Brazil and Spain

This paper examines the antecedents of millennials' organic food purchasing. A conceptual framework, based on product characteristics, and consumers' concerns and consciousness, is proposed. Data collection was conducted through a survey in two culturally and socioeconomically distinct countries (Brazil vs. Spain) to increase the robustness and generalizability of the results. The results show that product characteristics and consumer concerns improve millennials’ health consciousness and increase their social consciousness, which, in turn, increase their willingness to pay a price premium and their purchase frequency of organic foods. The findings show that the proposed model has high validity, with only one significant difference between the two countries. Theoretical contributions and managerial implications are discussed.     

Measuring the effectiveness of US monetary policy during the COVID-19 recession

The COVID-19 recession that started in March 2020 led to an unprecedented decline in economic activity across the globe. To fight this recession, policy makers in central banks engaged in expansionary monetary policy. This paper asks whether the measures adopted by the US Federal Reserve (Fed) have been effective in boosting real activity and calming financial markets. To measure these effects at high frequencies, we propose a novel mixed frequency vector autoregressive (MF-VAR) model. This model allows us to combine weekly and monthly information within a unified framework. Our model combines a set of macroeconomic aggregates such as industrial production, unemployment rates, and inflation with high-frequency information from financial markets such as stock prices, interest rate spreads, and weekly information on the Fed's balance sheet size. The latter set of high-frequency time series is used to dynamically interpolate the monthly time series to obtain weekly macroeconomic measures. We use this setup to simulate counterfactuals in absence of monetary stimulus. The results show that the monetary expansion caused higher output growth and stock market returns, more favorable long-term financing conditions and a depreciation of the US dollar compared with a no-policy benchmark scenario.     

The differences in hotel selection among various types of travellers: A comparative analysis with a useful bounded rationality behavioural decision support model

This study aims to investigate the hotel selection differences among different types of travellers through online hotel reviews. Specifically, the study performs a detailed examination of the differences in hotel key factors, criterion importance and selection results among five types of travellers, namely, business, couples, families, friends and solo. Using a sample of 194,885 online reviews on TripAdvisor.com, this study identifies the hotel key factors and criterion importance by employing the term frequency-inverse document frequency algorithm and Word2Vec algorithm. Additionally, a bounded rationality behavioural decision support model with picture fuzzy information is proposed to address hotel selection problems for different traveller types. Our results suggest that different types of travellers present differences in hotel key factors, criterion importance and selection results. However, families and friends have similar hotel selection results. This study can serve as a reference for hotel managers in understanding traveller preferences and for tourism website optimisation.     

Why you should use high frequency data to test the impact of exchange rate on trade

This study suggests that testing the impact of exchange rate on trade should be done using high-frequency data. Using different data frequencies for identical periods and specifications between the US and Canada, we show that low-frequency data might suppress and distort the evidence of the impact of exchange rate on trade in the short run and the long run.     

How the sound frequency of background music influences consumers’ perceptions and decision making

This study examined how music frequency affected consumers’ perception and decision making. The results of three experimental studies show that music frequency affects perceived distance between the sound source and the perceiver. Consequently, the representation of marketing message that matched (vs. mismatched) the background music's frequency enhanced consumers’ evaluative judgments. Specifically, Study 1A demonstrates that low‐frequency (vs. high‐frequency) music increased perceived distance. Studies 2, 3A, and 3B indicate that low‐frequency (high‐frequency) music matched products with abstract (concrete) representations and marketing messages signifying far (near) psychological distance. The congruency between psychological distance induced by music frequency and mental representations of products and message orientation offers a novel perspective on the notion of congruency. Moreover, Study 2 provides evidence that supports the congruency–fluency–evaluation chain (i.e., the mediating role of fluency), and Studies 3A and 3B show that the congruency has downstream effects. This study provides a theoretical contribution to the literature on the effects of music in marketing contexts by presenting convergent evidence that individuals exposed to low‐frequency (high‐frequency) music are inclined to construe a marketing message at a high (low) level.     

Intraday pairs trading strategies on high frequency data: the case of oil companies

This paper introduces novel ‘doubly mean-reverting’ processes based on conditional modelling of model spreads between pairs of stocks. Intraday trading strategies using high frequency data are proposed based on the model. This model framework and the strategies are designed to capture ‘local’ market inefficiencies that are elusive for traditional pairs trading strategies with daily data. Results from real data back-testing for two periods show remarkable returns, even accounting for transaction costs, with annualized Sharpe ratios of 3.9 and 7.2 over the periods June 2013–April 2015 and 2008, respectively. By choosing the particular sector of oil companies, we also confirm the observation that the commodity price is the main driver of the share prices of commodity-producing companies at times of spikes in the related commodity market.     

信用担保合约的定价

随着信用担保行业的不断发展,作为高风险行业,对其担保合约的科学定价以覆盖其担保失败的损失,显得极为重要。利用信用担保合约与信用违约互换的支付函数的同构性,构建适当的信用违约互换合约及模拟信用担保公司的信用担保合约,以信用违约互换的定价方式为信用担保公司的信用担保合同进行定价,更能体现出定价模型对担保合约定价的客观性、科学性和准确性。