人生的高度不在于你學(xué)會了什么技術(shù),會做什么事,而取決于價值觀(value)與遠(yuǎn)見(vision)
待寫posted @ 2016-12-31 22:01 abilitytao 閱讀(13026) | 評論 (0) | 編輯 收藏
枯葉北風(fēng)寒,忽然年以殘,念往昔,語默心酸。二十光陰無一物,韶光賤,寐難安; 不畏形影單,道途阻且慢,哪曲折,如渡飛湍。斬浪劈波酬壯志,同把酒,共言歡! -如夢令
2016年12月31日 #
posted @ 2016-12-31 22:01 abilitytao 閱讀(13026) | 評論 (0) | 編輯 收藏
2015年1月5日 #
本益比是選股票的重要指標(biāo)之一,說起本益比這個詞,相信很多人都有聽過,大部分投資者也自認(rèn)明白和了解本益比的含義,但當(dāng)你叫他和你解釋時,他卻說了半天你也沒聽懂。 一開始我也以為自己明白和了解本益比,因?yàn)楸旧碜x金融系的關(guān)系,我知道本益比的計(jì)算方式,但最近我終于明白,知道計(jì)算本益比和了解本益比是兩回事,方程式始終只是方程式,必須探討其中的含義,了解方程式的的由來,才能一探本益比的真實(shí)意義,讓本益比成為選股的武器。 首先先放百度百科的本益比含義:
本益比(price/earning,簡稱P/E) 本益比是某種股票普通股每股市價(股價)與每股盈利的比率。也稱“股價收益比率”或“市價盈利比率(簡稱市盈率)”。英文用PER表示。其計(jì)算公式為:本益比=股票市價/每股純利(年)
本益比是某種股票普通股每股市價與每股盈利的比率。所以它也稱為股價收益比率或市價盈利比率。 如此,本益比應(yīng)該是通常所說的市盈率。
馬來西亞和新加坡財經(jīng)報章一般將其稱為“本益比”,而香港和中國一般稱作“市盈率”,其實(shí)只是稱呼不同,但內(nèi)容和含義相同,英文則稱為P/E RATIO或者PER,就是PRICE/EARNING RATIO的縮寫。
本益比的計(jì)算方式:
Market Value per Share(股票當(dāng)今價格)
Earnings per Share (EPS)(每股盈利)
股票當(dāng)今價格也就是股票閉市的價格。
每股盈利則是公司盈利除于股票數(shù)量。
例子:一間上市公司擁有100萬股,2012年度公司盈利為50萬。
每股盈利就等于 50萬÷100萬 = 0.50 (每股分得0.50的盈利)
EPS(Earning Per Share) 就是0.50
如果該公司閉市價格為RM2.00 本益比就是2.00/0.50 = 4倍
用白話解釋本益比,一句就搞定了: 本益比其實(shí)就是回本年份,如果該股本益比為4倍,代表我們購買該股,4年才能回本。
股價就好比你的投資額,EPS就是我們的回報。 如果該股閉市價格RM2.00,我們購買該股本錢就RM2.00,EPS就是我們的回報,如果該股EPS是0.50,代表我們投資RM2.00,每年能拿回0.50,要4年才能回本,這4年其實(shí)就是我們常說的本益比。
預(yù)測本益比就是根據(jù)該公司今年的盈利,預(yù)測明年的盈利,再計(jì)算出來的本益比。 本益比其實(shí)就是回本年份,如果該公司沒有盈利,你永遠(yuǎn)都不能回本,那么該公司就不會有本益比。 馬航就是沒有本益比的最好例子。 很多人可能會說,如果本益比代表回本年份,那么是不是越低越好?那么就表示越快回本。 其實(shí)不然,本益比雖然是代表著回本年份,但不一定越低越好,要視公司而定,很多藍(lán)籌股的本益比都很高,也有很多垃圾股本益比都很低。 一般上互聯(lián)網(wǎng)科技股的本益比都很高。 馬來西亞基本面大師冷眼覺得本益比在10以下的公司,都比較合理,本益比超過10,該股有被高估的可能。
轉(zhuǎn)自百度知道。
posted @ 2015-01-05 17:20 abilitytao 閱讀(563) | 評論 (0) | 編輯 收藏
2014年11月19日 #
posted @ 2014-11-19 22:13 abilitytao 閱讀(910) | 評論 (0) | 編輯 收藏
2014年11月11日 #
posted @ 2014-11-11 23:34 abilitytao 閱讀(648) | 評論 (0) | 編輯 收藏
2014年10月24日 #
posted @ 2014-10-24 17:28 abilitytao 閱讀(350) | 評論 (0) | 編輯 收藏
2014年10月15日 #
--select * from authors
--select au_lname, au_fname from authors where state ='CA'
--select * from publishers
--select distinct state from publishers
--select *from titles
--select * from titles where price is null
-- select case when price is null then 0 else price end from titles-- it works!!!!!!!!!!
-- 4 Functions
--select varchar_format(current date - date('2011-01-01') + date, 'DD-MM-YY') as newDate,
-- varchar_format(date,'DD-MM-YY') as olddate from sales
--values current date - date('2014-01-01') + date('2014-01-02')
--select *from roysched
--select hex(lorange) from roysched
--select * from titles where price in (20,19) -- in one shot ZANZANZANZANZAN!!!
select
case type when 'business' then Title else 'other' end from titles 聯(lián)系條件語句并顯示成不同的屬性-------------------------------------------------------------------------------------------------select * from authors
--select au_lname, au_fname from authors where state ='CA'
--select * from publishers
--select distinct state from publishers
--select *from titles
--select * from titles where price is null
-- select case when price is null then 0 else price end from titles-- it works!!!!!!!!!!
-- 4 Functions
--select varchar_format(current date - date('2011-01-01') + date, 'DD-MM-YY') as newDate,
-- varchar_format(date,'DD-MM-YY') as olddate from sales
--values current date - date('2014-01-01') + date('2014-01-02')
--select *from roysched
--select hex(lorange) from roysched
--select * from titles where price in (20,19) -- in one shot ZANZANZANZANZAN!!!
--select case type when 'business' then Title else 'other' end from titles
--select syscolumns.length from syscolumns where syscolumns.id = 'titles' and syscolumns.name = 'title'
--5 Grouping
--select (days(max(pubdate)) - days(min(pubdate)) )/365 from titles
--select title from titles order by length(title)
--select *from titles
--select count(*) from authors group by city
--select title from titles where length(title) = (select max(length(title)) from titles)
--select coalesce(price,0) from titles -- yuan lai bushi yong is null shi yong zhe ge a!!!!
--select length(price) from titles
/*
select title from titles where length(title) >= all
(
select length(title) from titles
)
*/
--select pubdate from titles
/*
select title,pubdate from titles where pubdate >= all
(
select pubdate from titles
)
*/
--select count(*) from sales group by stor_num
--select * from sales
--select * from publishers
--select * from titles as a inner join publishers as b on a.pub_id = b.pub_id
--select title,city,a.pub_id from titles as a inner join publishers as b on a.pub_id = b.pub_id where city not in ('Boston')
--select * from psales
/*
select b.ord_num,b.discount,d.discounttype from psales as a inner join salesdetail as b on a.stor_id = b. stor_id and a.ord_num = b.ord_num
inner join stores as c on a.stor_id = c.stor_id inner join discounts as d on c.stor_id = d.stor_id order by b.ord_num
*/
--select * from authors
--select * from publishers
--select * from authors as a inner join publishers as b on a.city = b.city
--select sum(qty) from salesdetail
--select pub_name, count(distinct type) from publishers as a inner join titles as b on a.pub_id = b.pub_id group by pub_name
--select *from titleauthor
--7 Sub-Queries
/*
select pub_name from publishers where pub_id in
(
select pub_id from titles
)
*/
--select * from publishers
--nice !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
/*
select type,title,t1.price
from titles as t1
where price > (select avg(price) from titles as t2 where t2.type = t1.type)
*/
-- nice !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
select
title,t1.pricefrom
titles as t1where
price > all(select coalesce(price,0) from titles as t2 where t2.type != t1.type)
--select * from titles
--select t1.type,t1.title,t1.price,(select avg(price) from titles as t2 where t2.type = t1.type)
--from titles as t1
--where price > (select avg(price) from titles as t2 where t2.type = t1.type)
--select avg(price) from titles
--select abs(13.93750000000000000000000000- price) from titles
--select coalesce(abs((select avg(price) from titles) - price),0) from titles
--select count(*) as ANS from SB_AUCTION where (days(enddate) - days(startdate) < 10)
/*
select
description, enddate, reserve from SB_Auction inner join sb_item on SB_Auction.itemid = sb_item.itemid where (date('2011-02-20') >= startdate and date('2011-02-20') <= enddate) order by reserve desc*/
--select * from sb_bid
--select name from (sb_bid as a inner join sb_auction as b on a.bidder = b.userid) inner join sb_user as c on b.userid = c.userid group by name
--select * from authors
--select newA.name from
--(
--select name,c.itemid from (sb_user as a inner join sb_auction as b on a.userid = b.userid)
-- inner join sb_item as c on b.itemid = c.itemid
--) AS newA
--select * from sb_auction
/*
create
view weitaol_viewas
select
c.auctionid, max(amount) as winning_bid from sb_auction as a inner join sb_user as b on a.winnerid = b.userid inner join sb_bid as c on a.auctionid = c.auctionid where a.state = 'sold' group by c.auctionid*/
--select * from weitaol_view
select
enddate, description,coalesce(name,'==') as name ,coalesce(c.winning_bid,0) as winning_bid from sb_auction as a inner join sb_item as b on a.itemid = b.itemid left join sb_user on a.winnerid = sb_user.userid left join weitaol_view as c on a.auctionid = c.auctionid /*select * from sb_auction
*/
posted @ 2014-10-15 23:39 abilitytao 閱讀(462) | 評論 (0) | 編輯 收藏
2014年10月4日 #
posted @ 2014-10-04 11:52 abilitytao 閱讀(32084) | 評論 (3) | 編輯 收藏
2014年9月29日 #
posted @ 2014-09-29 23:50 abilitytao 閱讀(518) | 評論 (0) | 編輯 收藏
2014年9月22日 #
posted @ 2014-09-22 19:06 abilitytao 閱讀(437) | 評論 (0) | 編輯 收藏
2014年9月21日 #
posted @ 2014-09-21 12:26 abilitytao 閱讀(565) | 評論 (0) | 編輯 收藏