financial-modelling.jp Financial-modelling.jp

   
財務モデリングWeb講座 トップページ

Domain Summary

What is the traffic rank for Financial-modelling.jp?

• Financial-modelling.jp ranks #6,762,844 globally on HypeStat.

What percent of global Internet users visit Financial-modelling.jp?

• 3.8E-6% of global Internet users visit Financial-modelling.jp

How many people visit Financial-modelling.jp each day?

• Financial-modelling.jp receives approximately 186 visitors and 250 page impressions per day.

Which countries does Financial-modelling.jp receive most of its visitors from?

• Financial-modelling.jp is mostly visited by people located in Japan.

How much Financial-modelling.jp can earn?

• Financial-modelling.jp should earn about $0.09/day from advertising revenue.

What is Financial-modelling.jp estimated value?

• Estimated value of Financial-modelling.jp is $77.08.

What IP addresses does Financial-modelling.jp resolve to?

• Financial-modelling.jp resolves to the IP addresses 75.2.70.75.

Where are Financial-modelling.jp servers located in?

• Financial-modelling.jp has servers located in United States.

financial-modelling.jp Profile

Title:財務モデリングWeb講座 トップページ
Description:財務モデリング講座の目的は、エクセルを用いた財務モデリングや事業計画策定に係る専門的かつ実務的なノウハウを、わかりやすく金融業界の現場で働く人々へ伝えること、そして日本における金融教育を推進することです。目標としては、本講座を受講するだけで、財務モデリングを専門とするアドバイザリーの若手と同等、もしくはそれ以上の知識とスキルを習得できる内容を目指して日々記事を執筆していきます。
Category:Finance / Accounting and Auditing
Edit Site Info

What technologies does financial-modelling.jp use?

These are the technologies used at financial-modelling.jp. financial-modelling.jp has a total of 11 technologies installed in 9 different categories.
CDN
CloudFlare CloudFlare
Google Hosted Libraries Google Hosted Libraries
Analytics
Google Analytics Google Analytics
Font Scripts
Google Font API Google Font API
Tag Managers
Google Tag Manager Google Tag Manager
Security
HSTS HSTS
Miscellaneous
HTTP/3 HTTP/3
Open Graph Open Graph
JavaScript Libraries
jQuery jQuery
CMS
MemberStack MemberStack
Page builders
Webflow Webflow

financial-modelling.jp Traffic Analysis

Financial-modelling.jp is ranked #6,762,844 in the world. This website is viewed by an estimated 186 visitors daily, generating a total of 250 pageviews. This equates to about 5.6K monthly visitors.
Daily Visitors186
Monthly Visits5.6K
Pages per Visit1.35
Visit duration00:17
Bounce Rate69.34%
Is this your site?Verify your site's metrics.
Daily Unique Visitors:
186
Monthly Visits:
5,636
Pages per Visit:
1.35
Daily Pageviews:
250
Avg. visit duration:
00:17
Bounce rate:
69.34%
Global Reach:
3.8E-6%
Monthly Visits (SEMrush):
4,876
Monthly Unique Visitors (SEMrush):
4,876
Monthly Visits (SimilarWeb):
5,512
HypeRank:
6,762,844
SEMrush Rank:
15,216,937
SimilarWeb Rank:
4,166,855
*All traffic values are estimates only.

Desktop vs Mobile

Desktop:
100.00%
Mobile:
0%

Total Visits Last 3 Months

5.7K
JUL
5.6K
AUG
5.6K
SEP

Visitors by country

Country
Users%
 
Japan 100.00%

Which sites are competitors to financial-modelling.jp?

Websites similar to financial-modelling.jp are sites similar on user interests and browsing behavior. Users can discover new websites that are similar to the ones they already enjoy or find useful.
Last update was 35 days ago
     
This can take up to 60 seconds. Please wait...

*HypeStat.com is not promoting or affiliated with financial-modelling.jp in any way. Only publicly available statistics data are displayed.

  ▼

SEMrush is a complete on line advertising and marketing platform that gives a extensive variety of gear and functions to help companies and entrepreneurs in enhancing their on line visibility and optimizing their virtual advertising and marketing strategies.
SemRushSemRush
Domain:
  financial-modelling.jp
Rank:
(Rank based on keywords, cost and organic traffic)
  15,216,937
Organic Keywords:
(Number of keywords in top 20 Google SERP)
  17
Organic Traffic:
(Number of visitors coming from top 20 search results)
  0
Organic Cost:
((How much need to spend if get same number of visitors from Google Adwords)
  $0.00
Full SEMrush Report >>

Revenue report ▼

Google.com would generate approximately $0.1 per day if the source of income were advertisements, which equates to an estimated monthly revenue of $2.7 and annual gross revenue of approximately $32.9. Based on these figures, the site's net worth is estimated at around $77.1.

How much would financial-modelling.jp make?

Daily Revenue:
$0.09
Monthly Revenue:
$2.70
Yearly Revenue:
$32.85
*All earnings values are estimates only.

Daily earning by country

 
CountryPageviewsEarning
 
Japan 250$0.09

Daily revenue loss by country

 
CountryBlockedLost Money
 
Japan 8$0.00

How much is financial-modelling.jp worth?

Website Value:
$77.1

Ad Experience Report ▼

Summary of the ad experience rating of a website for a specific platform.

Mobile summary

Root domain:
financial-modelling.jp
Ad filtering:
(Chrome is not filtering ads on your site.)
Off
Status:
(The status of the site that is reviewed for the Better Ads Standards.)
Not reviewed

Desktop summary

Root domain:
financial-modelling.jp
Ad filtering:
(Chrome is not filtering ads on your site.)
Off
Status:
(The status of the site that is reviewed for the Better Ads Standards.)
Not reviewed

Abusive Experience Report ▼

Summary of the abusive experience rating of a website.
Root domain:
financial-modelling.jp
Enforcement:
(Chrome is not preventing your site from opening new windows or tabs.)
Off
Status:
(The status of the site reviewed for the abusive experiences.)
Not reviewed

Where is financial-modelling.jp hosted? ▼

Financial-modelling.jp may be hosted in multiple data centers distributed in different locations around the world. This is probably just one of them.
Server IP:
75.2.70.75
ASN:
AS16509 
ISP:
Amazon.com, Inc. 
Server Location:

United States, US
 

Other sites hosted on 75.2.70.75

How fast does financial-modelling.jp load? ▼

The average loading time of financial-modelling.jp is 287 ms. The Desktop speed index is 80 and mobile speed index is 0.
Average Load Time:
287 ms

Page Speed (Google PageSpeed Insights) - Desktop

80
0-49 50-89 90-100 i

Field Data

Over the last 30 days, the field data shows that this page has a FAST speed compared to other pages in the Chrome User Experience Report.We are showing the 90th percentile of FCP and the 95th percentile of FID.

Cumulative Layout Shift (CLS)0ms 99% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 99% 0% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)563ms 84% of loads for this page have a fast (<0.8s) Time To First Byte (TTFB) 84% 13% of loads for this page have an average (0.8s ~ 1.8s) Time To First Byte (TTFB) 13% 2% of loads for this page have a slow (>1.8s) Time To First Byte (TTFB) 2%
First Contentful Paint (FCP)1.2s 91% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 91% 6% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 6% 2% of loads for this page have a slow (>3s) First Contentful Paint (FCP) 2%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average (0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interaction To Next Paint (INP)0 0% of loads for this page have a fast (<0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have a slow (>0ms) Interaction To Next Paint (INP) 0%
Largest Contentful Paint (LCP)1.4s 95% of loads for this page have a fast (<2500ms) Largest Contentful Paint (LCP) 95% 3% of loads for this page have an average (2500ms ~ 4000ms) Largest Contentful Paint (LCP) 3% 1% of loads for this page have a slow (>4000ms) Largest Contentful Paint (LCP) 1%

Origin Data

All pages served from this origin have an FAST speed compared to other pages in the Chrome User Experience Report. over the last 30 days.To view suggestions tailored to each page, analyze individual page URLs.

Cumulative Layout Shift (CLS)0ms 99% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 99% 0% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)563ms 84% of loads for this page have a fast (<0.8s) Time To First Byte (TTFB) 84% 13% of loads for this page have an average (0.8s ~ 1.8s) Time To First Byte (TTFB) 13% 2% of loads for this page have a slow (>1.8s) Time To First Byte (TTFB) 2%
First Contentful Paint (FCP)1.2s 91% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 91% 6% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 6% 2% of loads for this page have a slow (>3s) First Contentful Paint (FCP) 2%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average 0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interaction To Next Paint (INP)0 0% of loads for this page have a fast (<0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have a slow (>0ms) Interaction To Next Paint (INP) 0%
Largest Contentful Paint (LCP)1.4s 95% of loads for this page have a fast (<2500ms) Largest Contentful Paint (LCP) 95% 3% of loads for this page have an average (2500ms ~ 4000ms) Largest Contentful Paint (LCP) 3% 1% of loads for this page have a slow (>4000ms) Largest Contentful Paint (LCP) 1%

Lab Data

Time to Interactive 2.7 s
Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric
Max Potential First Input Delay 100 ms
The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric
Speed Index 1.7 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric
Preconnect to required origins  
Consider adding `preconnect` or `dns-prefetch` resource hints to establish early connections to important third-party origins. Learn how to preconnect to required origins
Largest Contentful Paint 2.4 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
Lazy load third-party resources with facades  
Some third-party embeds can be lazy loaded. Consider replacing them with a facade until they are required. Learn how to defer third-parties with a facade
Total Blocking Time 100 ms
Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. Learn more about the Total Blocking Time metric
First Contentful Paint 1.4 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First Contentful Paint metric
Largest Contentful Paint image was not lazily loaded  
Above-the-fold images that are lazily loaded render later in the page lifecycle, which can delay the largest contentful paint. Learn more about optimal lazy loading
First Meaningful Paint  
First Meaningful Paint measures when the primary content of a page is visible. Learn more about the First Meaningful Paint metric

Does financial-modelling.jp use compression? ▼

Website compression is the process of reducing the size of website files, such as HTML, CSS, JavaScript, and image files, to improve website performance and load times. Compressing website files can significantly reduce the amount of data that needs to be transferred from the server to the user's browser, resulting in faster page load times and improved user experience. Files on financial-modelling.jp are reduced by 76%.
financial-modelling.jp use gzip compression.
Original size: 29.33 KB
Compressed size: 6.91 KB
File reduced by: 22.42 KB (76%)

Google Safe Browsing ▼

Google Safe Browsing is a service provided by Google that helps protect users from visiting websites that may contain malicious or harmful content, such as malware, phishing attempts, or deceptive software.
This site is not currently listed as suspicious

MyWot.com Reputation Ratings

MyWOT (short for "My Web of Trust") is a web-based reputation and rating service that provides users with information about the trustworthiness and safety of websites.
Status:
  SUSPICIOUS

SSL Checker - SSL Certificate Verify ▼

An SSL (Secure Sockets Layer) certificate is a digital certificate that establishes a secure encrypted connection between a web server and a user's web browser. It provides authentication and encryption, ensuring that data transmitted between the server and the browser remains private and protected. financial-modelling.jp supports HTTPS.
 financial-modelling.jp supports HTTPS
     
Verifying SSL Support. Please wait...
Common Name: www.financial-modelling.jp
Organization:
Location:
Issuer: R10
Valid from: Oct 31 21:24:19 2024 GMT
Valid until: Jan 29 21:24:18 2025 GMT
Authority: CA:FALSE
Keysize: 2048 Bits
Common Name: R10
Organization: Let's Encrypt
Location: US
Issuer: ISRG Root X1
Valid from: Mar 13 00:00:00 2024 GMT
Valid until: Mar 12 23:59:59 2027 GMT
Authority: CA:TRUE
Keysize: 2048 Bits

Verify HTTP/2 Support ▼

HTTP/2 (Hypertext Transfer Protocol version 2) is a major revision of the HTTP protocol, which is the foundation of data communication on the World Wide Web. It was developed as an improvement over the previous HTTP/1.1 version to enhance web performance and efficiency.
 financial-modelling.jp supports HTTP/2
     
Verifying HTTP/2.0 Support. Please wait...

Http Header ▼

HTTP headers are extra portions of records despatched among a consumer (which include an internet browser) and a server at some stage in an HTTP request or response. They offer instructions, metadata, or manipulate parameters for the conversation among the consumer and server. 
date: Sat, 02 Nov 2024 20:47:02 GMT
content-type: text/html
content-length: 166
location: https://www.financial-modelling.jp/
strict-transport-security: max-age=31536000

HTTP/2 200 
date: Sat, 02 Nov 2024 20:47:02 GMT
content-type: text/html
cf-ray: 8dc6fa380f175824-IAD
cf-cache-status: HIT
age: 241711
content-encoding: gzip
last-modified: Thu, 31 Oct 2024 01:38:31 GMT
strict-transport-security: max-age=31536000
surrogate-control: max-age=432000
surrogate-key: www.financial-modelling.jp 5be2591802b5626c44a73a40 pageId:6289d5c0751aa3c598284d45 6289d5c0751aa3183c284d4c 6289d5c0751aa3d26a284d4e 6289d5c0751aa384a2284d4d 6289d5c0751aa3ce0f284d4f
x-lambda-id: cefcd696-96e3-49d8-8d6b-70be4d959369
set-cookie: __cf_bm=6hJHLWEcJxEcjbWYA9pftYvNtCQQfl6hXkO0F6Ny_3I-1730580422-1.0.1.1-OIdrN8HQcTM2S.qYXfSQTJa3Z2FK1wt3hcknP9wOD0JSTDFKPooyf_xZmkJKfMPlvzR8IW_8YYhKQsqAyHpW_Q; path=/; expires=Sat, 02-Nov-24 21:17:02 GMT; domain=.cdn.webflow.com; HttpOnly; Secure; SameSite=None
vary: Accept-Encoding
set-cookie: _cfuvid=rgfZJSLcaKOQeRpkdkkD005daHqC9nbEm1ocyVpi2ZA-1730580422446-0.0.1.1-604800000; path=/; domain=.cdn.webflow.com; HttpOnly; Secure; SameSite=None
alt-svc: h3=":443"; ma=86400
x-cluster-name: us-east-1-prod-hosting-red

DNS Lookup ▼

DNS entries (Domain Name System) are a critical component of the Internet infrastructure. They act as directories that translate human-readable domain names (such as example.com) to machine-readable IP addresses. DNS records are stored on DNS servers and help forward internet traffic efficiently.
Type Ip Target/Txt TTL
TXT proxy-ssl.webflow.com 600
SOA 3600
Mname ns17.domaincontrol.com
Rname dns.jomax.net
Serial Number 2022071309
Refresh 28800
Retry 7200
Expire 604800
Minimum TTL 600
A 75.2.70.75 543
A 99.83.190.102 543
NS ns17.domaincontrol.com 3600
NS ns18.domaincontrol.com 3600

Whois Lookup ▼

Domain WHOIS is a public database that provides information about domain names, including registered owners, contact information, domain registrars, registration and expiration dates, name servers, and other relevant information. Domain registration for this website began on November 30, 2018 and will expire on November 30, 2024 if not renewed. This website is now assigned through the registrar . The WHOIS data for this website's domain was last updated on November 30, 2023.
Domain Created:
2018-11-30
Domain Expires:
2024-11-30
Domain Updated:
2023-11-30
Domain Age:
6 years 8 days
Domain Owner:
Fumiya Kawai
WhoIs:
 

[ JPRS database provides information on network administration. Its use is    ]
[ restricted to network administration purposes. For further information,     ]
[ use 'whois -h whois.jprs.jp help'. To suppress Japanese output, add'/e'     ]
[ at the end of command, e.g. 'whois -h whois.jprs.jp ***/e'.                 ]
Domain Information:
[Domain Name]                   FINANCIAL-MODELLING.JP

[Registrant]                    Fumiya Kawai

[Name Server]                   ns17.domaincontrol.com
[Name Server]                   ns18.domaincontrol.com
[Signing Key]                   

[Created on]                    2018/11/30
[Expires on]                    2024/11/30
[Status]                        Active
[Last Updated]                  2023/12/01 01:05:04 (JST)

Contact Information:
[Name]                          Fumiya Kawai
[Email]                         email
[Web Page]                       
[Postal code]                   104-0061
[Postal Address]                Ginza 7-15-8 Unit 406, Chuo-ku
[Phone]                         +81.8095261863
[Fax]