3 RESEARCH METHOD 
This article uses literature reviews to explain about 
the essence and the importance of measurement and 
valuation of the asset in accounting, that draw 
concern of the problems that related with 
measurement and valuation in practice.   
 
4  ANALYSIS AND RESULTS 
(Riahi-Belkaoui, 2005) said that there are alternative 
asset-valuation and income-determination models. 
There are four attributes of assets and liabilities that 
may be quantified: historical cost, current entry 
price, current exit price, capitalized or the present 
value of expected cash flows. Two units of measure 
may be used to measure assets and liabilities: money 
and purchasing power. Asset valuation and financial 
gain determination models: Historical-cost 
accounting, Replacement-cost accounting, Net-
realizable-value accounting, Present-value 
accounting, General price-level accounting, General 
price-level replacement cost accounting, General 
price-level net realisable-value accounting, General 
price-level present-value accounting.  
(Riahi-Belkaoui, 2005) expressed that in 
measuring of asset, although theoretically 
considered the best accounting models, present-
value models have recognized practical deficiencies 
: they require the estimation of future net cash 
receipts also the temporal order these receipts, as 
well as the selection of the appropriate discount rates 
; when applied to the valuation of individual assets, 
they require the arbitrary allocation of estimated 
future net cash receipts and the timing of those 
receipts as well as the selection of the appropriate 
discount rates; when applied to the valuation of 
individual assets, they need the discretionary 
allocation of calculable future net benefit receipts 
among the individual assets. 
Another approach carried out by (Barberis, 
Huang and Santos, 2001). They suggest a new 
framework for pricing assets, derived in part from 
the traditional consumption-based approach, but 
which also incorporates two long-standing ideas in 
psychology: the prospect theory of Kahneman and 
Tversky - 1979 (Kahneman and Tversky, 1979), and 
the evidence of Thaler and Johnson - 1990 (Thaler 
and Johnson, 1990) and others on the influence of 
previous outcomes on risky alternative. Consistent 
with prospect theory, the investor in their model 
derives utility not only from consumption levels but 
also from changes in the value of his financial 
wealth. He is rather more sensitive to reductions in 
wealth than to will increase, the "loss-aversion" 
feature of prospect utility. Moreover, according to 
with experimental proof, the utility he receives from 
gains and losses in wealth depends on his prior 
investment outcomes; prior gains cushion 
subsequent losses -- the so-called "house-money" 
result -- whereas previous losses intensify the pain 
of ulterior shortfalls (Barberis, Huang and Santos, 
2001). They study asset prices in the presence of 
agents with preferences of this type and find that our 
model reproduces the high mean, volatility, and 
predictability of stock returns. The key to our result 
is that the agent's risk-aversion changes over time as 
a operate of his investment performance. This makes 
costs rather more volatile than underlying dividends, 
and along with the investor's loss-aversion, results in 
large equity premia. Their results obtain  reasonable 
values for all parameters (Barberis, Huang and 
Santos, 2001). 
(Chordia, Huh and Subrahmanyam, 2009) link 
valuation of the asset with liquidity. They said that 
many proxies of illiquidity have been used in the 
kinds of literature and studies that connects 
illiquidity to asset prices. These proxies have been 
motivated from an empirical viewpoint. In their 
research, they approach liquidity estimation from a 
theoretical perspective. Their method explicitly 
acknowledges the analytic dependence of illiquidity 
on more primitive drivers such as information 
asymmetry and trading activity. The empirical 
results offer evidence that theory-based estimates of 
illiquidity are priced in the cross-section of expected 
stock returns, even after accounting for risk factors, 
firm characteristics are known to influence returns, 
and other illiquidity proxies prevalent in the 
literature (Chordia, Huh and Subrahmanyam, 2009). 
(Duffie, 2010) stated Dynamic Asset Pricing 
Theory on the theory of asset pricing and portfolio 
selection in multiperiod settings under uncertainty. 
The asset pricing results are built upon the three 
more and more restrictive assumptions: absence of 
arbitrage, single-agent optimality, and equilibrium. 
These results are unified with two key ideas, state 
prices, and martingales. Technicalities are given 
comparatively very little pressure, so as to draw 
connections between these concepts and to make 
plain the similarities between discrete and 
continuous-time models. The new chapter is on 
corporate securities that offer alternative approaches 
to the valuation of corporate debt (Duffie, 2010). 
(Simpson, 2010) notes cover old and new 
investment methods, regulatory and legal 
developments and the role of technology as a game 
changer in asset management. The discussion offers 
constant weight to the theoretical and practical 
aspects of asset management. The focus is on