Stacking-based Deep Neural Network: Deep Analytic Network on Convolutional Spectral Histogram Features

Stacking-based deep neural network (S-DNN), in general, denotes a deep neural network (DNN) resemblance in terms of its very deep, feedforward network architecture. The typical S-DNN aggregates a variable number of individually learnable modules in series to assemble a DNN-alike alternative to the targeted object recognition tasks. This work likewise devises an S-DNN instantiation, dubbed deep analytic network (DAN), on top of the spectral histogram (SH) features. The DAN learning principle relies on ridge regression, and some key DNN constituents, specifically, rectified linear unit, fine-tuning, and normalization. The DAN aptitude is scrutinized on three repositories of varying domains, including FERET (faces), MNIST (handwritten digits), and CIFAR10 (natural objects). The empirical results unveil that DAN escalates the SH baseline performance over a sufficiently deep layer.Comment: 5 page

Goods and services tax (GST) on construction capital cost and housing property price

Good and Service Tax (GST) an indirect broad-based conswnpti.on tax. Following with the implementation of GST in Malaysia on 1st April 2015, it is suspected that the construction capital cost and housing property price will increase accordingly. This study is aim to review the GST effect associated on construction capital cost and it influences towards housing developer and housing property price. Additionally, this study highlights what was the developer point of view on the GST given to them and also the housing price further proposes initiatives to the housing developers. Argument of GST effect is useful for the public administrators so that to re-consider the rate of GST and also beneficial to the construction parties to account with the GST implementation. As conclusion, this study review that GST do give an impact towards the construction capital cost, housing developer and housing property price in terms of knock-on effect

The Psychological Attraction Approach to Accounting and Disclosure Policy

We offer here the psychological attraction approach to accounting and disclosure rules, regulation, and policy as a program for positive accounting research. We suggest that psychological forces have shaped and continue to shape rules and policies in two different ways. (1) Good Rules for Bad Users: rules and policies that provide information in a form that is useful for users who are subject to bias and cognitive processing constraints. (2) Bad Rules: superfluous or even pernicious rules and policies that result from psychological bias on the part of the ‘designers’ (managers, users, auditors, regulators, politicians, or voters). We offer some initial ideas about psychological sources of the use of historical costs, conservatism, aggregation, and a focus on downside outcomes in risk disclosures. We also suggest that psychological forces cause informal shifts in reporting and disclosure regulation and policy, which can exacerbate boom/bust patterns in financial markets.Investor psychology; accounting regulation; disclosure policy; salience; omission bias; scapegoating; limited attention; overconfidence; conservatism; loss aversion; accrual; smoothing; mental accounting; historical cost; risk disclosure; value-at-risk

Fish and fisheries in the Sesan River Basin: catchment baseline, fisheries section

The present report was prepared for the Water and Food Challenge Program project “Optimizing the management of a cascade of reservoirs at the catchment level” (MK3). It constitutes the baseline assessment of fish and fisheries in the Sesan River Basin. The objective of the MK3 project is to contribute knowledge and recommendations so that cascades of reservoirs corresponding to hydropower dams in the Mekong Basin are managed in ways that are more fair and equitable for all water users. This project seeks to understand at the catchment scale the cumulative upstream and downstream consequences of management decisions taken for multiple reservoirs. Revised rules for water storage infrastructure management will in particular take into account fisheries and agricultural potential as well as hydropower ge

Stock market misvaluation and corporate investment

This paper explores whether and why misvaluation affects corporate investment by comparing tangible and intangible investments; and by using a price-based misvaluation proxy that filters out scale and earnings growth prospects. Capital, and especially R\&D expenditures increase with overpricing; but only among overvalued firms. Misvaluation affects investment both directly (catering) and through equity issuance. The sensitivity of capital expenditures to misvaluation is stronger among financially constrained firms; for R&D this differential is strong and in the opposite direction. We identify several other factors that influence the strength of misvaluation effects on investment. Generally the equity channel reinforces direct catering, suggesting that the two are complementary. Overall, our evidence supports several implications of the misvaluation hypothesis for the tangible and intangible components of investment.behavioral finance; misvaluation; market efficiency; corporate investment

Accruals and Aggregate Stock Market Returns

Past research has shown that the level of operating accruals is a negative cross-sectional predictor of stock returns. This paper examines whether the accrual anomaly extends to the aggregate stock market. In contrast with cross-sectional findings, there is no indication that aggregate operating accruals is a negative time series predictor of stock market returns; the relation is strongly positive for the market portfolio and also for several sector and industry portfolios. In addition, innovations in accruals are negatively contemporaneously associated with market returns, suggesting that changes in accruals contain information about changes in discount rates, or that firms manage earnings in response to market-wide undervaluation.accruals; return predictability; stock market returns; market efficiency; asset pricing; anomalies; accounting; earnings fixation

The Accrual Anomaly: Risk or Mispricing?

We document considerable return comovement associated with accruals after controlling for other common factors. An accrual-based factor-mimicking portfolio has a Sharpe ratio of 0.16, higher than that of the market factor or the SMB and HML factors of Fama and French (1993). In time series regressions, a model that includes the Fama-French factors and the additional accrual factor captures the accrual anomaly in average returns. However, further time series and cross-sectional tests indicate that it is the accrual characteristic rather than the accrual factor loading that predicts returns. These findings favor a behavioral explanation for the accrual anomaly.Capital markets; accruals; market efficiency; behavioral finance; limited attention