Competitive actions and firm performance of hotels in Hong Kong

Drawn on the recent action–reaction perspective in competitive dynamics studies, this paper suggests that not only the number of competitive actions, but also the extent of differences of action portfolios within and between firms are relevant in determining a firm's performance. A distinction of these differences of competitive action portfolios among firms and the corresponding measures to capture these effects are proposed. This study of Hong Kong high tariff hotels confirmed that diversifying a hotel's portfolio of actions, but not too much different from the competitors, would help hotels to achieve higher financial performance in a competitive market.     

Constructing Fama–French Factors from Style Indices: Evidence from the Islamic Equity Market

This study has contributed to the analysis of the Fama–French three-factor model by proving the validity of model using the newly constructed Fama–French factors from Malaysian Islamic stock market. With generalized method of moments and robustness tests, our results compliment earlier studies by comparing the results over two sub-periods, before and after the financial crises and the fall of Lehman Bros. The results of the analysis suggest that the reversal of size effects exists after periods of financial crisis. This is the first attempt to create FF factors and test the model from Islamic equity style indices.     

Audit pricing following mergers of accounting practices: evidence from Hong Kong

This study investigates what happens to audit fees after audit firms merge. In particular, we examine whether pre-merger fee premiums of the strong brand name auditor spread to the other auditor. Using data from Hong Kong we analyse the 1997 merger between Kwan Wong Tan & Fong (KWTF) and Deloitte Touche & Tohmatsu (DTT) to become DTT, and the 1998 merger between Coopers & Lybrand (CL) and Price Waterhouse (PW) to form PricewaterhouseCoopers (PwC). We find that DTT audit fees are 55% higher than KWTF prior to the merger and this premium falls to 41% in 1998 and to 34% in 1999. However, we find no increase in audit fees for incumbent property company clients, a sector where KWTF is the leading supplier. Prior to its merger. PW earned audit fees 16.4% higher than those earned by CL and the premium is even larger for clients in the consolidated enterprises and property companies sectors. We find no change in audit fees after the PwC merger. This result suggests that the PwC merger is a response to increased competition and clients are unwilling to pay higher fees for within-Big 5 re-branding.     

Stated Attribute Non‐attendance in Successive Choice Experiments

Attribute non‐attendance in choice experiments affects willingness‐to‐pay (WTP) estimates and therefore the validity of the method. A recent strand of literature uses attenuated estimates of marginal utilities of ignored attributes. Following this approach, we propose a generalisation of the mixed logit model, whereby the distribution of marginal utility coefficients of a stated non‐attender has a potentially lower mean and lower variance than those of a stated attender. Model comparison shows that our shrinkage approach fits the data better and produces more reliable WTP estimates. We further find that while reliability of stated attribute non‐attendance increases in successive choice experiments, it does not increase when respondents report having ignored the same attribute twice.     

One size does not fit all: Heterogeneous economic impact of integrated pest management practices for mango fruit flies in Kenya—a machine learning approach

Most previous studies evaluating agricultural technology adoption focus on estimating homogeneous average treatment effects across technology adopters. Understanding the heterogeneous effects and drivers of impact heterogeneity should enable interventions to be better targeted to maximise benefits. We apply machine learning using data from a randomised controlled trial to estimate the heterogeneous treatment effect of fruit fly IPM practices (i.e., parasitoids, orchard sanitation, use of food bait, biopesticides, male annihilation technique, and their combinations) in Central Kenya. Results suggest significant heterogeneity in the effect of IPM practices conditioned on household characteristics. The most important covariates explaining differences in treatment effects are wealth, distance to the mango fruit market, age of the household head, labour and experience in mango farming. Results further indicate that those with fewer mango trees benefit more from most IPM practices. Additional analysis across other covariates shows mixed results but generally suggests significant differences between households benefiting the most and those benefiting the least from IPM practices.     

The pricing of basket-spread options

Since the pioneering paper of Black and Scholes was published in 1973, enormous research effort has been spent on finding a multi-asset variant of their closed-form option pricing formula. In this paper, we generalize the Kirk [Managing Energy Price Risk, 1995] approximate formula for pricing a two-asset spread option to the case of a multi-asset basket-spread option. All the advantageous properties of being simple, accurate and efficient are preserved. As the final formula retains the same functional form as the Black–Scholes formula, all the basket-spread option Greeks are also derived in closed form. Numerical examples demonstrate that the pricing and hedging errors are in general less than 1% relative to the benchmark results obtained by numerical integration or Monte Carlo simulation with 10 million paths. An implicit correction method is further applied to reduce the pricing errors by factors of up to 100. The correction is governed by an unknown parameter, whose optimal value is found by solving a non-linear equation. Owing to its simplicity, the computing time for simultaneous pricing and hedging of basket-spread option with 10 underlying assets or less is kept below 1 ms. When compared against the existing approximation methods, the proposed basket-spread option formula coupled with the implicit correction turns out to be one of the most robust and accurate methods.     

Domestic value added and employment generated by Chinese exports: A quantitative estimation

We develop an input–output methodology to estimate how Chinese exports affected the country's total domestic value added (DVA) and employment in the years 2002 and 2007. For every US$1000 dollar of Chinese exports in 2007 (2002), DVA and employment are estimated to be US$591 (US$466) and 0.096 (0.242) person-year, respectively. To implement these estimations, we use hitherto unpublished Chinese government data to construct several completely new datasets, including an input–output table with separate input–output and employment-output coefficients for processing exports, non-processing exports, and output for domestic use. We hypothesize that, in comparison with the export sector, China's domestic sector would be relatively autarkic due to China's history of central planning. We expect that exports would generate less DVA and employment than output for domestic use. Processing exports, which are highly dependent on imported inputs, would similarly generate less DVA and employment than non-processing exports. Our findings support these expectations. For both 2002 and 2007, the DVA and employment effects of domestic final demand were higher than those of non-processing exports, which were in turn higher than those of processing exports. However, with the progress of economic reforms, we found that the total DVAs of exports and domestic final demand have converged from 2002 to 2007.     

Does economic liberalization promote economic growth in Pakistan? An empirical analysis

The study aims to examine the short and long term impacts of economic liberalization on economic growth in case of Pakistan from 1971 to 2011. Economic liberalization consists of reforms in both trade liberalization and financial liberalization. This study contributes to the existing literature by constructing an economic liberalization index using principal component analysis. Our results show, firstly, that economic liberalization reforms have a positive impact on economic growth in the short run. However, trade liberalization is negatively associated with economic growth in the long-run. Secondly, the estimated coefficients through rolling window show that impact of economic liberalization on real GDP is unstable during the selected period of sample. This study recommends to policy makers to enhance human capital by having more expenditure on education sector. In addition, financial reforms by way of a sectoral credit allocation should be introduced to further promote the economic growth.